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387 kB
| { | |
| "div5252/hindi-fake-news": { | |
| "stars": 4, | |
| "desc": "Fake News Article Detection Datasets for Hindi Language", | |
| "url": "https://github.com/div5252/hindi-fake-news.git", | |
| "q": "hindi fake news dataset" | |
| }, | |
| "BSAkash/Hindi-Fake-News-Detection-Dataset": { | |
| "stars": 1, | |
| "desc": "Hindi Fake News Detection Dataset consists of 6k+ Fake and 6k+ Authentic News articles, su", | |
| "url": "https://github.com/BSAkash/Hindi-Fake-News-Detection-Dataset.git", | |
| "q": "hindi fake news dataset" | |
| }, | |
| "SohaliBaisla/Hindi-Fake-News-Fact-Checker": { | |
| "stars": 1, | |
| "desc": "The purpose of the study was to learn more about the problem of misinformation. In this wo", | |
| "url": "https://github.com/SohaliBaisla/Hindi-Fake-News-Fact-Checker.git", | |
| "q": "hindi fake news dataset" | |
| }, | |
| "Piyush2912/FakeNewsDetectionHindiDataset": { | |
| "stars": 0, | |
| "desc": "Consist of Hindi news articles", | |
| "url": "https://github.com/Piyush2912/FakeNewsDetectionHindiDataset.git", | |
| "q": "hindi fake news dataset" | |
| }, | |
| "itsvaibhavsharmaji/Fake-News-Dataset-In-Hindi": { | |
| "stars": 0, | |
| "desc": "\ud83d\udcf0 Hindi Fake News Detection Dataset: Curated for research in Hindi fake news detection, so", | |
| "url": "https://github.com/itsvaibhavsharmaji/Fake-News-Dataset-In-Hindi.git", | |
| "q": "hindi fake news dataset" | |
| }, | |
| "mehakagg1313/Hindi-Fake-News-Fact-Checker": { | |
| "stars": 0, | |
| "desc": "About The purpose of the study was to learn more about the problem of misinformation. In t", | |
| "url": "https://github.com/mehakagg1313/Hindi-Fake-News-Fact-Checker.git", | |
| "q": "hindi fake news dataset" | |
| }, | |
| "Spinal-Tap369/fake-news": { | |
| "stars": 0, | |
| "desc": "Fake news classfication on a Hindi fake news dataset. Using ML, DL and a transformer.", | |
| "url": "https://github.com/Spinal-Tap369/fake-news.git", | |
| "q": "hindi fake news dataset" | |
| }, | |
| "mehakagg1313/Sachet-Samachar": { | |
| "stars": 0, | |
| "desc": " To combat the spread of Hindi misinformation, we have made a Hindi Fake News Detector us", | |
| "url": "https://github.com/mehakagg1313/Sachet-Samachar.git", | |
| "q": "hindi fake news dataset" | |
| }, | |
| "chandan5362/NER-on-Indic-Language-Dataset": { | |
| "stars": 0, | |
| "desc": "", | |
| "url": "https://github.com/chandan5362/NER-on-Indic-Language-Dataset.git", | |
| "q": "indic NER dataset" | |
| }, | |
| "justaguyalways/ToxVidLM_ACL_2024": { | |
| "stars": 11, | |
| "desc": "Code and Datasets for our accepted long paper at ACL 2024, regarding toxicity detection in", | |
| "url": "https://github.com/justaguyalways/ToxVidLM_ACL_2024.git", | |
| "q": "code-mixed hinglish dataset" | |
| }, | |
| "Jarus77/codemix-tts-recipe": { | |
| "stars": 2, | |
| "desc": "Recipe for cloning expressive code-mixed voices (demonstrated on Hinglish): dataset pipeli", | |
| "url": "https://github.com/Jarus77/codemix-tts-recipe.git", | |
| "q": "code-mixed hinglish dataset" | |
| }, | |
| "mananjen/hinglish_sarcasm_dataset": { | |
| "stars": 0, | |
| "desc": "Dataset of Hindi - English code mixed comments for sarcasm detection", | |
| "url": "https://github.com/mananjen/hinglish_sarcasm_dataset.git", | |
| "q": "code-mixed hinglish dataset" | |
| }, | |
| "shreyapatankar-commits/HINGLISH-SENTENCES": { | |
| "stars": 0, | |
| "desc": "Dataset consists of code mixed Hindi English sentences and tweets", | |
| "url": "https://github.com/shreyapatankar-commits/HINGLISH-SENTENCES.git", | |
| "q": "code-mixed hinglish dataset" | |
| }, | |
| "justaguyalways/Code-Mixed-Hinglish-Intervention-CIKM-2024": { | |
| "stars": 0, | |
| "desc": "Code and Datasets for our accepted paper at CIKM 2024 - ToxVI: a Multimodal LLM-based Fram", | |
| "url": "https://github.com/justaguyalways/Code-Mixed-Hinglish-Intervention-CIKM-2024.git", | |
| "q": "code-mixed hinglish dataset" | |
| }, | |
| "pprithviraj-dev/hinglish-code-mixed-sentiment-analysis": { | |
| "stars": 0, | |
| "desc": "Transformer-based sentiment and hate speech analysis on Hinglish code-mixed text using MuR", | |
| "url": "https://github.com/pprithviraj-dev/hinglish-code-mixed-sentiment-analysis.git", | |
| "q": "code-mixed hinglish dataset" | |
| }, | |
| "20118/ACSA-Mix": { | |
| "stars": 0, | |
| "desc": "Code-mixed Hinglish dataset for aspect based sentiment analysis", | |
| "url": "https://github.com/20118/ACSA-Mix.git", | |
| "q": "code-mixed hinglish dataset" | |
| }, | |
| "PraneethaBalanagu/Cyberbullying-Detection-in-Code-mixed-Memes-Using-Deep-Learning": { | |
| "stars": 0, | |
| "desc": "Cyberbullying detection in Hinglish memes using XLM-RoBERTa and ViT for fine-tuning the da", | |
| "url": "https://github.com/PraneethaBalanagu/Cyberbullying-Detection-in-Code-mixed-Memes-Using-Deep-Learning.git", | |
| "q": "code-mixed hinglish dataset" | |
| }, | |
| "hamzasial1911/Urdu-Fake-News-Detection-Using-Rnn": { | |
| "stars": 1, | |
| "desc": "Urdu Fake News detection using RNN", | |
| "url": "https://github.com/hamzasial1911/Urdu-Fake-News-Detection-Using-Rnn.git", | |
| "q": "urdu fake news detection" | |
| }, | |
| "shujaamarwat/Fake-News-Detection": { | |
| "stars": 1, | |
| "desc": "Fake news detection using the Multinomial Na\u00efve Bayes Classifier and Boolean Na\u00efve Bayes C", | |
| "url": "https://github.com/shujaamarwat/Fake-News-Detection.git", | |
| "q": "urdu fake news detection" | |
| }, | |
| "Noman-Aziz/Urdu-Fake-News-Detection": { | |
| "stars": 1, | |
| "desc": "Urdu Fakes News Detection using Na\u0131\u0308ve Bayes and Boolean Na\u0131\u0308ve Bayes", | |
| "url": "https://github.com/Noman-Aziz/Urdu-Fake-News-Detection.git", | |
| "q": "urdu fake news detection" | |
| }, | |
| "Bushramjad/Naive-Bayes-Fake-News-Detection-Urdu": { | |
| "stars": 1, | |
| "desc": "Fake/Real news detection using Natural Language Processing techniques - Naive Bayes Classi", | |
| "url": "https://github.com/Bushramjad/Naive-Bayes-Fake-News-Detection-Urdu.git", | |
| "q": "urdu fake news detection" | |
| }, | |
| "MaazAmjad/Urdu-Fake-news-detection-FIRE2021": { | |
| "stars": 1, | |
| "desc": "", | |
| "url": "https://github.com/MaazAmjad/Urdu-Fake-news-detection-FIRE2021.git", | |
| "q": "urdu fake news detection" | |
| }, | |
| "HjH-Whu-CRC/Ax-to-Grind-Urdu": { | |
| "stars": 1, | |
| "desc": "Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection", | |
| "url": "https://github.com/HjH-Whu-CRC/Ax-to-Grind-Urdu.git", | |
| "q": "urdu fake news detection" | |
| }, | |
| "Jawad-repo/LLM_Fake_News_Detection_bert-base-uncased": { | |
| "stars": 1, | |
| "desc": "Use the model BERT to train it on the Urdu fake news data set", | |
| "url": "https://github.com/Jawad-repo/LLM_Fake_News_Detection_bert-base-uncased.git", | |
| "q": "urdu fake news detection" | |
| }, | |
| "Uzairrr21/Fake-News-Detection-in-Regional-Languages-using-Hybrid-Deep-Learning-Approaches": { | |
| "stars": 1, | |
| "desc": "Investigated hybrid deep learning architectures for fake news detection in low-resource U", | |
| "url": "https://github.com/Uzairrr21/Fake-News-Detection-in-Regional-Languages-using-Hybrid-Deep-Learning-Approaches.git", | |
| "q": "urdu fake news detection" | |
| }, | |
| "rezacsedu/Bengali-Hate-Speech-Dataset": { | |
| "stars": 31, | |
| "desc": "Dataset for identifying potential hates (e.g., political, religious, personal, gender abus", | |
| "url": "https://github.com/rezacsedu/Bengali-Hate-Speech-Dataset.git", | |
| "q": "bengali hate speech dataset" | |
| }, | |
| "eftekhar-hossain/Bengali-Hateful-Memes": { | |
| "stars": 9, | |
| "desc": "[ACL, EACL'24] Dataset and PyTorch Code for Multimodal Hate Speech Detection in Bengali", | |
| "url": "https://github.com/eftekhar-hossain/Bengali-Hateful-Memes.git", | |
| "q": "bengali hate speech dataset" | |
| }, | |
| "naurosromim/hate-speech-dataset-for-Bengali-social-media": { | |
| "stars": 4, | |
| "desc": "", | |
| "url": "https://github.com/naurosromim/hate-speech-dataset-for-Bengali-social-media.git", | |
| "q": "bengali hate speech dataset" | |
| }, | |
| "fatemafaria142/Bangla-Hate-Speech-Detection": { | |
| "stars": 1, | |
| "desc": "A study on Bengali hate speech detection using GPT-3.5 Turbo and Gemini 1.5 Pro with Zero-", | |
| "url": "https://github.com/fatemafaria142/Bangla-Hate-Speech-Detection.git", | |
| "q": "bengali hate speech dataset" | |
| }, | |
| "Rafid-Mostafiz/Bengali-Hate-Speech-Dataset": { | |
| "stars": 0, | |
| "desc": "", | |
| "url": "https://github.com/Rafid-Mostafiz/Bengali-Hate-Speech-Dataset.git", | |
| "q": "bengali hate speech dataset" | |
| }, | |
| "Rafid-Mostafiz/Dataset-Bengali-Hate-Speech": { | |
| "stars": 0, | |
| "desc": "", | |
| "url": "https://github.com/Rafid-Mostafiz/Dataset-Bengali-Hate-Speech.git", | |
| "q": "bengali hate speech dataset" | |
| }, | |
| "sadmannasim/bengali-hate-speech-detection": { | |
| "stars": 0, | |
| "desc": "Multi-script Bengali Hate Speech Detection: Enhancing G-BERT with Romanized Text Dataset a", | |
| "url": "https://github.com/sadmannasim/bengali-hate-speech-detection.git", | |
| "q": "bengali hate speech dataset" | |
| }, | |
| "mariambinte-bashir/Bengali-Hate-Speech-Dataset-for-Sentiment-Classification": { | |
| "stars": 0, | |
| "desc": "", | |
| "url": "https://github.com/mariambinte-bashir/Bengali-Hate-Speech-Dataset-for-Sentiment-Classification.git", | |
| "q": "bengali hate speech dataset" | |
| }, | |
| "Aditya-Lingam-9000/SATYAMEV-BOT": { | |
| "stars": 0, | |
| "desc": "Bringing real-time, multimodal AI fact-checking directly to WhatsApp in 10+ Indic language", | |
| "url": "https://github.com/Aditya-Lingam-9000/SATYAMEV-BOT.git", | |
| "q": "indic misinformation" | |
| }, | |
| "sohampoddar26/indian-transport-snam": { | |
| "stars": 0, | |
| "desc": "Datasets used in our paper titled \"Utilizing the Twitter Social Media to Identify Transpor", | |
| "url": "https://github.com/sohampoddar26/indian-transport-snam.git", | |
| "q": "indian social media dataset" | |
| }, | |
| "Crisfx007/Sentiment-Analysis-GNN": { | |
| "stars": 0, | |
| "desc": "Training a Graph Neural Network from scratch on Indian Social Media Dataset for Sentiment ", | |
| "url": "https://github.com/Crisfx007/Sentiment-Analysis-GNN.git", | |
| "q": "indian social media dataset" | |
| }, | |
| "AxleBlaze3/Covid_19_Tweets_with_Tagged_Needs": { | |
| "stars": 0, | |
| "desc": "Dataset for the paper \"Identifying Human Needs through Social Media: A study on Indian cit", | |
| "url": "https://github.com/AxleBlaze3/Covid_19_Tweets_with_Tagged_Needs.git", | |
| "q": "indian social media dataset" | |
| }, | |
| "debby123p/IndRegBias-A-Dataset-for-Studying-Indian-Regional-Biases-in-English-and-Code-Mixed-Languages": { | |
| "stars": 0, | |
| "desc": "This research assesses the effectiveness of Large Language Models (LLMs) in identifying re", | |
| "url": "https://github.com/debby123p/IndRegBias-A-Dataset-for-Studying-Indian-Regional-Biases-in-English-and-Code-Mixed-Languages.git", | |
| "q": "indian social media dataset" | |
| }, | |
| "LinusKaiser/NLP-NewsHeadlines-StockTwits": { | |
| "stars": 0, | |
| "desc": "Comparison of multiple sentiment classification supervised ML approaches on two separate d", | |
| "url": "https://github.com/LinusKaiser/NLP-NewsHeadlines-StockTwits.git", | |
| "q": "indian social media dataset" | |
| }, | |
| "sandeepkovvuru/Real-Time-Sentiment-Analysis-of-RBI-Policy-Announcements": { | |
| "stars": 0, | |
| "desc": "The project analyzes sentiment of RBI monetary policy announcements and social media posts", | |
| "url": "https://github.com/sandeepkovvuru/Real-Time-Sentiment-Analysis-of-RBI-Policy-Announcements.git", | |
| "q": "indian social media dataset" | |
| }, | |
| "bala-ceg/doctor-patient-indic-speech-dataset": { | |
| "stars": 4, | |
| "desc": "Indian Multilingual doctor\u2013patient conversational speech dataset.", | |
| "url": "https://github.com/bala-ceg/doctor-patient-indic-speech-dataset.git", | |
| "q": "indic speech dataset" | |
| }, | |
| "Nivedita5/Indic-TEDST": { | |
| "stars": 2, | |
| "desc": "Indic-TEDST: Datasets and Baselines for Low-Resource Speech to Text Translation", | |
| "url": "https://github.com/Nivedita5/Indic-TEDST.git", | |
| "q": "indic speech dataset" | |
| }, | |
| "karya-inc/dataset-indicspeech-2022": { | |
| "stars": 0, | |
| "desc": "This repository contains sample speech datasets for 11 Indic languages for training Automa", | |
| "url": "https://github.com/karya-inc/dataset-indicspeech-2022.git", | |
| "q": "indic speech dataset" | |
| }, | |
| "aditya8086/indic-tts-speech-dataset": { | |
| "stars": 0, | |
| "desc": "End-to-end pipeline: YouTube \u2192 ASR transcription \u2192 LLM style labelling \u2192 HuggingFace. Bili", | |
| "url": "https://github.com/aditya8086/indic-tts-speech-dataset.git", | |
| "q": "indic speech dataset" | |
| }, | |
| "janvis11/indic_audio_filtering": { | |
| "stars": 0, | |
| "desc": "audio filtering pipeline for large-scale Indic speech datasets", | |
| "url": "https://github.com/janvis11/indic_audio_filtering.git", | |
| "q": "indic speech dataset" | |
| }, | |
| "Sachi-35/indic-voices": { | |
| "stars": 0, | |
| "desc": "Config-driven pipeline for fine-tuning and packaging Speech-to-Text (STT) and Text-to-Spee", | |
| "url": "https://github.com/Sachi-35/indic-voices.git", | |
| "q": "indic speech dataset" | |
| }, | |
| "parth-patel-1/RE-Wavtokenizer-Hindi": { | |
| "stars": 0, | |
| "desc": "An efficient acoustic discrete codec tokenizer trained on subset of Hindi Indic Speech Dat", | |
| "url": "https://github.com/parth-patel-1/RE-Wavtokenizer-Hindi.git", | |
| "q": "indic speech dataset" | |
| }, | |
| "OdiaGenAI/iwslt-odia-speech": { | |
| "stars": 0, | |
| "desc": "IWSLT Odia Speech provides baseline evaluations on the OpenSLR Odia speech dataset using c", | |
| "url": "https://github.com/OdiaGenAI/iwslt-odia-speech.git", | |
| "q": "indic speech dataset" | |
| }, | |
| "Adnan-Rafique/Fake-News-Detection": { | |
| "stars": 0, | |
| "desc": "English and Urdu dataset", | |
| "url": "https://github.com/Adnan-Rafique/Fake-News-Detection.git", | |
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| "q": "urdu fake news dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2020-12-09" | |
| }, | |
| "armaghanurrasool/Urdu_Fake_News": { | |
| "stars": 0, | |
| "desc": "Detecting fake news from urdu dataset. ", | |
| "url": "https://github.com/armaghanurrasool/Urdu_Fake_News.git", | |
| "size_kb": 0, | |
| "q": "urdu fake news dataset", | |
| "lang": null, | |
| "pushed": "2021-06-11" | |
| }, | |
| "Muhammad-Azhar-ITU/UrduFNDataset": { | |
| "stars": 0, | |
| "desc": "UrduFNDataset: A Comprehensive Dataset for Enhancing Fake News Detection in Urdu Using Transformer Models", | |
| "url": "https://github.com/Muhammad-Azhar-ITU/UrduFNDataset.git", | |
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| "q": "urdu fake news dataset", | |
| "lang": null, | |
| "pushed": "2024-09-17" | |
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| "baharrajput/urdu-fake-news-detection": { | |
| "stars": 0, | |
| "desc": "A Python NLP project for Urdu news fake-news detection using text preprocessing and deep learning models. Includes dataset cleaning, language/number f", | |
| "url": "https://github.com/baharrajput/urdu-fake-news-detection.git", | |
| "size_kb": 1963, | |
| "q": "urdu fake news dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2026-07-22" | |
| }, | |
| "zainali93/UrduHMFND2024": { | |
| "stars": 0, | |
| "desc": "This repository contains the dataset and code used in our paper titled Detection of Human and Machine-Authored Fake News in Urdu.", | |
| "url": "https://github.com/zainali93/UrduHMFND2024.git", | |
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| "q": "urdu fake news dataset", | |
| "lang": null, | |
| "pushed": "2024-10-25" | |
| }, | |
| "sehrishsafdar/AMUSED-Dataset": { | |
| "stars": 0, | |
| "desc": "This is the official repository of \"AMUSED: A Multilingual Urdu English Stance and Fake News Detection Corpus\"", | |
| "url": "https://github.com/sehrishsafdar/AMUSED-Dataset.git", | |
| "size_kb": 8469, | |
| "q": "urdu fake news dataset", | |
| "lang": null, | |
| "pushed": "2025-08-08" | |
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| "MYTE21/Detection-of-Bengali-Fake-News-Datasets": { | |
| "stars": 1, | |
| "desc": "Datasets [ Detection of Bengali Fake News: Experimental Approaches Using Machine Learning and Sentiment Analysis ]", | |
| "url": "https://github.com/MYTE21/Detection-of-Bengali-Fake-News-Datasets.git", | |
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| "q": "bengali fake news dataset", | |
| "lang": null, | |
| "pushed": "2024-12-29" | |
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| "MusfiqurTuhin/Bengali-Fake-News-Detection": { | |
| "stars": 1, | |
| "desc": "Official repository for \"Bengali Fake News Detection: A Multi-Layered LSTM Ensemble Approach\" (QPAIN 2025) featuring a novel dataset of 11k+ articles.", | |
| "url": "https://github.com/MusfiqurTuhin/Bengali-Fake-News-Detection.git", | |
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| "q": "bengali fake news dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-11-30" | |
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| "thesiswork67/MulBan-CTNet-Dataset": { | |
| "stars": 0, | |
| "desc": "Extended Bengali Multimodal Fake News Dataset (11,197 samples)", | |
| "url": "https://github.com/thesiswork67/MulBan-CTNet-Dataset.git", | |
| "size_kb": 8218, | |
| "q": "bengali fake news dataset", | |
| "lang": null, | |
| "pushed": "2026-06-06" | |
| }, | |
| "Farzana-Islam/bengali-fake-news": { | |
| "stars": 0, | |
| "desc": "One of the first Bengali fake news datasets scraped from local newspapers. Supporting NLP research in underrepresented languages. Published at IEEE IS", | |
| "url": "https://github.com/Farzana-Islam/bengali-fake-news.git", | |
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| "q": "bengali fake news dataset", | |
| "lang": "Python", | |
| "pushed": "2026-06-02" | |
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| "Murugesh1804/Indian-Fake-News-Detection": { | |
| "stars": 2, | |
| "desc": "This project is an Indian Fake News Detection web application built with Flask and scikit-learn. It allows users to input news headlines or articles a", | |
| "url": "https://github.com/Murugesh1804/Indian-Fake-News-Detection.git", | |
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| "q": "indian fake news detection dataset", | |
| "lang": "HTML", | |
| "pushed": "2026-03-09" | |
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| "adity7a/FakeNewsDetection": { | |
| "stars": 1, | |
| "desc": "This project aims to detect fake news articles using Machine Learning and Natural Language Processing (NLP) techniques. We trained multiple models on ", | |
| "url": "https://github.com/adity7a/FakeNewsDetection.git", | |
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| "q": "indian fake news detection dataset", | |
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| "pushed": "2026-08-01" | |
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| "SaiSanjana2002/Fake_news_detection": { | |
| "stars": 0, | |
| "desc": "fake news detection on Indian dataset", | |
| "url": "https://github.com/SaiSanjana2002/Fake_news_detection.git", | |
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| "q": "indian fake news detection dataset", | |
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| "pushed": "2024-03-19" | |
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| "PriyanshuPrasad1718/Chrome-extension-for-Indian-fake-news-detection": { | |
| "stars": 0, | |
| "desc": "Develop a Chrome extension designed to identify fake news, trained using a dataset comprising Indian news articles. The extension will utilize two mod", | |
| "url": "https://github.com/PriyanshuPrasad1718/Chrome-extension-for-Indian-fake-news-detection.git", | |
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| "q": "indian fake news detection dataset", | |
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| "desc": "Data and Code for ICLR2020 Paper \"TabFact: A Large-scale Dataset for Table-based Fact Verification\"", | |
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| "q": "fact verification dataset", | |
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| "desc": "Repository for Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS), accepted to NeurIPS 2021 Dataset and Benchmar", | |
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| "desc": "Symmetric evaluation set based on the FEVER (fact verification) dataset", | |
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| "q": "fact verification dataset", | |
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| "desc": "[EACL'23] COVID-VTS: Fact Extraction and Verification on Short Video Platforms", | |
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| "q": "fact verification dataset", | |
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| "desc": "A Dataset for Multi-hop Explainable Fact Verification (ACL 2024 findings)", | |
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| "desc": "AAAI-24 CFEVER: A Chinese Fact Extraction and VERification Dataset", | |
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| "desc": "Factify is a Multi-Modal Fact Verification dataset released for a shared task as part of the De-Factify workshop in AAAI-21.", | |
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| "desc": "A COVID-19 News Fact-checking Dataset. Verifying claims in news against evidence in scientific papers.", | |
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| "desc": "Text Statistics, Vector Space Document retrieval, Probabilistic Document Retrieval, Sentence Relevance,Truthfulness of Claims on Fact Extraction and V", | |
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| "desc": "A benchmark dataset for fact verification focusing on temporal and numerical reasoning with time-series evidence. ", | |
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| "desc": "Baseline code of our AAAI-24 paper \"CFEVER: A Chinese Fact Extraction and VERification Dataset\". ", | |
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| "q": "fact verification dataset", | |
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| "desc": "Large-scale structured Tamil factual claim dataset with 2.36M claims for NLP, RAG, Knowledge Graphs and Fact Verification.", | |
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| "q": "fact verification dataset", | |
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| "stars": 3, | |
| "desc": "From Internet Argument Corpus (IAC) 2.0 dataset, this dataset covers 10,000 posts containing claims that can be verified with facts. The dataset conta", | |
| "url": "https://github.com/kixlab/suggestbot_dataset.git", | |
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| "desc": "This repository contains the Italian dataset for Fact Verification", | |
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| "desc": "A exercise in data mining: Using the FEVER dataset and query likelihood language models to verify claims. Algorithms, results, and documentation inclu", | |
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| "desc": "This project focuses on text-based classification, specifically in the domain of fact-checking statements. The dataset comprises statements paired wit", | |
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| "desc": "In this assingment we perform a fact checking task over FEVER dataset. The created models, given a claim to verify and an evidence set will have to ou", | |
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| "desc": "Project builds a fact-checking pipeline to verify the veracity of public health claims. Using the PUBHEALTH dataset and state-of-the-art natural lang", | |
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| "desc": "Verification of off-line signatures is one of the most challenging tasks in biometrics and document forensic science. In this thesis, we deal with Con", | |
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| "q": "fact verification dataset", | |
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| "desc": "Paper dataset for \"Factored Verification: Detecting and Reducing Hallucination in Summaries of Academic Papers\"", | |
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| "desc": "Fine-tuning datasets teaching LLMs to verify device/platform facts via terminal instead of guessing", | |
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| "desc": "Open dataset of verified, source-cited facts about China-origin software companies selling globally. CC BY 4.0.", | |
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| "desc": "Hybrid retrieval-based stance verification system using FEVER dataset", | |
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| "desc": "5W Fact Verification Using Machine Learning Models on the FEVER Dataset", | |
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| "desc": "ML project for detecting fake news and verifying claims using TF-IDF + Logistic Regression on news, LIAR, and Twitter bot datasets.", | |
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| "desc": "Error analysis and failure mode comparison of atomic factuality verification methods on FActScore dataset", | |
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| "desc": "Given a user query, a relevant fact supporting or refuting it is extracted from the FEVER dataset", | |
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| "desc": "The codebase and report for a fact verification and extraction dataset challenge using an NLP pipeline in python.", | |
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| "q": "fact verification dataset", | |
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| "desc": "ARabic Automatic Fact-checking Annotations \u2014 a large-scale benchmark dataset for automated fact verification in Modern Standard Arabic.", | |
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| "desc": "A web-based assistant that answers questions about diseases, symptoms, treatments \u2014 using verified datasets only.", | |
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| "pushed": "2019-03-20" | |
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| "desc": "Fact-verification pipeline with hybrid BM25 + dense retrieval on the LIAR misinformation dataset. Streamlit interface for real-time claim checking.", | |
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| "desc": "A table containing papers related to claim/fact verification. The approaches that use LLMs and the claim verification datasets and benchmarks are list", | |
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| "desc": "This project tackles cross-lingual fact verification\u2014verifying claims across languages without translation. Using the X-FACT dataset and XLM-RoBERTa (", | |
| "url": "https://github.com/harshitha9916/Bridging-Language-Barriers-in-Fact-Verification.git", | |
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| "q": "fact verification dataset", | |
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| "pushed": "2025-10-23" | |
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| "desc": "A from-scratch benchmark comparing retrieval strategies (dense, BM25 hybrid, HyDE, hierarchical) for RAG on a biomedical fact-verification dataset", | |
| "url": "https://github.com/vanshch/bioretrieval-bench.git", | |
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| "q": "fact verification dataset", | |
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| "Roy-Abhishek/Fact-Checker-AI": { | |
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| "desc": "A use of OpenAI's ChatGPT and Pinecones vector-embeddings-based search of a dataset to search through peer-reviewed studies to verify facts provided b", | |
| "url": "https://github.com/Roy-Abhishek/Fact-Checker-AI.git", | |
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| "q": "fact verification dataset", | |
| "lang": "Python", | |
| "pushed": "2025-01-30" | |
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| "sumithra-p-v/claimverifier": { | |
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| "desc": "An AI-powered claim verification and fact-checking application that uses RoBERTa for sequence classification to evaluate textual claims against datase", | |
| "url": "https://github.com/sumithra-p-v/claimverifier.git", | |
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| "q": "fact verification dataset", | |
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| "atharva5ra/Fact-CheckAI-Misinformation-and-Fake-Detection": { | |
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| "desc": "Developed Fact-CheckAI, an AI system detecting misinformation and deepfakes using fine-tuned BART-Large-MNLI on Fever dataset for text verification an", | |
| "url": "https://github.com/atharva5ra/Fact-CheckAI-Misinformation-and-Fake-Detection.git", | |
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| "q": "fact verification dataset", | |
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| "pushed": "2025-07-27" | |
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| "kirtimistri/FactCheck-AI": { | |
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| "desc": "FactCheck AI is a research-driven benchmark framework designed to evaluate the factual verification capabilities of large language models (LLMs) again", | |
| "url": "https://github.com/kirtimistri/FactCheck-AI.git", | |
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| "q": "fact verification dataset", | |
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| "aalamkhanpathan/AI-hallucinations": { | |
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| "desc": "Complete system architecture - Dataset suggestions - Model selection (LLM + fact verification model) - Python implementation - Evaluation metrics - UI", | |
| "url": "https://github.com/aalamkhanpathan/AI-hallucinations.git", | |
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| "desc": "Generic auto-labeling pipeline for vision datasets \u2014 runs on a 16 GB Apple Silicon Mac via SSD-streaming MoE. gather \u2192 filter \u2192 label \u2192 verify \u2192 revie", | |
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| "desc": "FactBuddy combats fake news using machine learning, leveraging Logistic Regression & LSTM for real-time credibility analysis. With a 20,000+ article d", | |
| "url": "https://github.com/avijit004/FactBuddy-ML-Powered-Fake-News-Detection.git", | |
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| "q": "fact verification dataset", | |
| "lang": "Python", | |
| "pushed": "2025-03-08" | |
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| "CooperDavis00/kepler-expoplanet-ml-project": { | |
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| "desc": "Machine Learning portfolio project, using a Kepler exoplanet search results dataset to verify if objects are in fact exoplanets. ", | |
| "url": "https://github.com/CooperDavis00/kepler-expoplanet-ml-project.git", | |
| "size_kb": 1631, | |
| "q": "fact verification dataset", | |
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| "pushed": "2025-05-17" | |
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| "stars": 0, | |
| "desc": "Open dataset of historical women for AI persona conversations. Wikipedia-verified facts, voice descriptions, example dialogues, and character boundari", | |
| "url": "https://github.com/yuxuan-o-o/women-on-the-wall.git", | |
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| "q": "fact verification dataset", | |
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| "pushed": "2026-06-15" | |
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| "biohackdaily/telegram-trading-bots-dataset": { | |
| "stars": 0, | |
| "desc": "Expert knowledge base on 23 crypto trading bots & AI agents : Telegram, web terminals, CEX & prediction markets, across 9+ chains. 207 reliability-tag", | |
| "url": "https://github.com/biohackdaily/telegram-trading-bots-dataset.git", | |
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| "q": "fact verification dataset", | |
| "lang": null, | |
| "pushed": "2026-04-10" | |
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| "kimyoohan/factquire": { | |
| "stars": 0, | |
| "desc": "Source-verified facts feed for commercial LLM APIs \u2014 every price, limit, and lifecycle fact carries a verbatim primary-source quote. 135 models, 16 pr", | |
| "url": "https://github.com/kimyoohan/factquire.git", | |
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| "q": "fact verification dataset", | |
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| "pushed": "2026-08-15" | |
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| "AwaiaTahir/Claim-Verifier": { | |
| "stars": 0, | |
| "desc": "A fact-checking pipeline that verifies statements against local datasets and live web searches using hybrid retrieval and local LLMs.", | |
| "url": "https://github.com/AwaiaTahir/Claim-Verifier.git", | |
| "size_kb": 33763, | |
| "q": "fact verification dataset", | |
| "lang": "Python", | |
| "pushed": "2026-06-23" | |
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| "Maroof04/TruthLens": { | |
| "stars": 0, | |
| "desc": "AI-powered misinformation detection system using Retrieval-Augmented Generation (RAG), vector search, and Google Gemini to verify claims against fact-", | |
| "url": "https://github.com/Maroof04/TruthLens.git", | |
| "size_kb": 819, | |
| "q": "fact verification dataset", | |
| "lang": "Python", | |
| "pushed": "2026-03-11" | |
| }, | |
| "pablodevicente/IR-Claim_Generation": { | |
| "stars": 0, | |
| "desc": " implementation of a pipeline for automatic claim generation using the FEVER dataset. The goal is to generate verifiable claims from source documents ", | |
| "url": "https://github.com/pablodevicente/IR-Claim_Generation.git", | |
| "size_kb": 1977, | |
| "q": "fact verification dataset", | |
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| "pushed": "2025-07-02" | |
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| "MingjunChen1996/Healthcare_Insurance_Fraud_Detection": { | |
| "stars": 9, | |
| "desc": "Provider Fraud is one of the biggest problems facing Medicare. According to the government, the total Medicare spending increased exponentially due to", | |
| "url": "https://github.com/MingjunChen1996/Healthcare_Insurance_Fraud_Detection.git", | |
| "size_kb": 961, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2020-06-15" | |
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| "TIBHannover/MM_Claims": { | |
| "stars": 8, | |
| "desc": "Official code repository for the paper: Gullal Singh Cheema, Sherzod Hakimov, Abdul Sittar, Eric M\u00fcller-Budack, Christian Otto, and Ralph Ewerth. 2022", | |
| "url": "https://github.com/TIBHannover/MM_Claims.git", | |
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| "q": "claim detection dataset", | |
| "lang": "Python", | |
| "pushed": "2025-10-27" | |
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| "cleopatra-itn/image_text_claim_detection": { | |
| "stars": 5, | |
| "desc": "Code and Dataset for paper \"On the Role of Images for Analyzing Claims in Social Media\" @2nd International Workshop on Cross-lingual Event-centric Ope", | |
| "url": "https://github.com/cleopatra-itn/image_text_claim_detection.git", | |
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| "q": "claim detection dataset", | |
| "lang": "Python", | |
| "pushed": "2021-09-13" | |
| }, | |
| "vraj141/IMAGE-PROCESSING-FOR-INDIAN-ROADS": { | |
| "stars": 5, | |
| "desc": "In developing nations such as India, the vehicular growth rate is increasing exponentially which is worsening the traffic operations. Most of the urba", | |
| "url": "https://github.com/vraj141/IMAGE-PROCESSING-FOR-INDIAN-ROADS.git", | |
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| "q": "claim detection dataset", | |
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| "pushed": "2021-12-23" | |
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| "jason50706/CDDTC": { | |
| "stars": 4, | |
| "desc": "Claim Detection Dataset in Traditional Chinese", | |
| "url": "https://github.com/jason50706/CDDTC.git", | |
| "size_kb": 6144, | |
| "q": "claim detection dataset", | |
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| "pushed": "2024-04-17" | |
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| "desc": "Depending upon Dataset of Hospital's Insurance claim, It will predict whether the candidate's claim is Genuine or Fraud", | |
| "url": "https://github.com/Harishr44/Project-on-Insurance-Clain-Detection.git", | |
| "size_kb": 438, | |
| "q": "claim detection dataset", | |
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| "pushed": "2021-02-15" | |
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| "Kartik-Krishna/InsuranceClaims-FraudDetection": { | |
| "stars": 3, | |
| "desc": "Insurance fraud is a huge problem in the industry. It's difficult to identify fraud claims. Machine Learning is in a unique position to help the Auto ", | |
| "url": "https://github.com/Kartik-Krishna/InsuranceClaims-FraudDetection.git", | |
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| "q": "claim detection dataset", | |
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| "abhinav-123457/Claims-AI-Processor": { | |
| "stars": 2, | |
| "desc": " Accurate Car Damage Detection using YOLOv8 fine-tuned on the CARDD Dataset", | |
| "url": "https://github.com/abhinav-123457/Claims-AI-Processor.git", | |
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| "q": "claim detection dataset", | |
| "lang": "HTML", | |
| "pushed": "2026-06-09" | |
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| "Srijha09/Detection-Of-Fraudulent-Claims-In-Medical-Insurance": { | |
| "stars": 2, | |
| "desc": "Checking whether the claims are fraud or non-fraud based on various attributes using Medicare Dataset", | |
| "url": "https://github.com/Srijha09/Detection-Of-Fraudulent-Claims-In-Medical-Insurance.git", | |
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| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2019-11-04" | |
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| "mohittomar2008/Insurance-Claims--Fraud-Detection": { | |
| "stars": 2, | |
| "desc": "Problem Statement: Business case: Insurance fraud is a huge problem in the industry. It's difficult to identify fraud claims. Machine Learning is in a", | |
| "url": "https://github.com/mohittomar2008/Insurance-Claims--Fraud-Detection.git", | |
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| "stars": 2, | |
| "desc": "This project aims to identify potential fraud among healthcare providers using medical claims data. Leveraging structured datasets, we integrate, clea", | |
| "url": "https://github.com/ankitghosal/healthcare_fraud_detection.git", | |
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| "desc": "This project fine-tunes BERT-base-uncased on a public claim detection dataset using the Hugging Face Transformers library. The goal is to classify whe", | |
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| "desc": "Nowadays cardiovascular disease is amidst of the leading ten sources for the growing rate of morbidity and mortality worldwide, affecting roughly 50% ", | |
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| "desc": "Kaggle dataset", | |
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| "desc": "", | |
| "url": "https://github.com/SudarshanGouda/Claim_Fraud_Detection-Imbalenced_Dataset-.git", | |
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| "stars": 1, | |
| "desc": "Ensemble models improves when the appropriate feature selection method implemented for detection of auto insurance frauds (imbalanced dataset). The a", | |
| "url": "https://github.com/Wondet46/Auto-insurance-fraud-claim-dataset-with-dataset-types.git", | |
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| "adithya-m-s-989/Insurance-Claim-Fraud-Detection": { | |
| "stars": 1, | |
| "desc": "A supervised ML project to detect fraudulent insurance claims using the insurance_claims.csv dataset. Models predict claim legitimacy based on claiman", | |
| "url": "https://github.com/adithya-m-s-989/Insurance-Claim-Fraud-Detection.git", | |
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| "pushed": "2025-05-11" | |
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| "thayab136/Insurance-Claim-Fraud-Detection": { | |
| "stars": 1, | |
| "desc": "Problem Statement: Business case: Insurance fraud is a huge problem in the industry. It's difficult to identify fraud claims. Machine Learning is in ", | |
| "url": "https://github.com/thayab136/Insurance-Claim-Fraud-Detection.git", | |
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| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2021-12-26" | |
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| "iNoBo/news_claim_analysis": { | |
| "stars": 1, | |
| "desc": "This is the repository containing the dataset introduced in the paper: \"Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Cla", | |
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| "q": "claim detection dataset", | |
| "lang": null, | |
| "pushed": "2024-04-09" | |
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| "zulankm/Insurance-Fraud-Detection": { | |
| "stars": 1, | |
| "desc": "About this project :- The objective of the analysis is to identify if the claim is fraudulent or not? Dataset consists of several Variables(Independen", | |
| "url": "https://github.com/zulankm/Insurance-Fraud-Detection.git", | |
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| "pushed": "2025-07-30" | |
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| "Medhaswini118/Greenwashing_Detection": { | |
| "stars": 1, | |
| "desc": "This project uses Artificial Intelligence and Machine Learning to detect greenwashing in corporate environmental claims.Machine learning models are th", | |
| "url": "https://github.com/Medhaswini118/Greenwashing_Detection.git", | |
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| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-09-07" | |
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| "igorambrozini/Insurance_fraud_detection_many_classification_models": { | |
| "stars": 1, | |
| "desc": "This project focuses on detecting fraudulent auto insurance claims using different machine learning algorithms. The goal is to compare their performan", | |
| "url": "https://github.com/igorambrozini/Insurance_fraud_detection_many_classification_models.git", | |
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| "q": "claim detection dataset", | |
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| "pushed": "2025-10-10" | |
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| "AyushS1304/MetaJudge-AI": { | |
| "stars": 1, | |
| "desc": "A research-focused RAG pipeline for claim verification and hallucination detection an correction in AIML papers, evaluated against the SkepticBench da", | |
| "url": "https://github.com/AyushS1304/MetaJudge-AI.git", | |
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| "q": "claim detection dataset", | |
| "lang": "Python", | |
| "pushed": "2026-05-03" | |
| }, | |
| "SayaliChabhare/Vehicle-Insurance-Fraud-Detection-ML-Model-": { | |
| "stars": 1, | |
| "desc": "Vehical Insurance Fraud Detection Project : The dataset consists of vehicle insurance records, identifying whether claims are fraudulent or legitimate", | |
| "url": "https://github.com/SayaliChabhare/Vehicle-Insurance-Fraud-Detection-ML-Model-.git", | |
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| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
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| "kinit-sk/MultiCW": { | |
| "stars": 1, | |
| "desc": "This repository contains the code and datasets for the paper \"MultiCW - A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness ", | |
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| "lang": "Jupyter Notebook", | |
| "pushed": "2026-01-22" | |
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| "ntunlplab/Finance-ICRD": { | |
| "stars": 1, | |
| "desc": "There are two tasks in the ICRD. We separate the datasets into three parts, including Train/Dev/Test. (1) Premise Detection In the premise detection", | |
| "url": "https://github.com/ntunlplab/Finance-ICRD.git", | |
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| "pushed": "2022-05-31" | |
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| "MinhajulKabirNishat/Healthcare-Fraud-Detection-Dataset": { | |
| "stars": 0, | |
| "desc": "Realistic medical insurance claims dataset with ICD-10, CPT codes. Main dataset containing all claim-level records and features.", | |
| "url": "https://github.com/MinhajulKabirNishat/Healthcare-Fraud-Detection-Dataset.git", | |
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| "q": "claim detection dataset", | |
| "lang": "Python", | |
| "pushed": "2026-05-11" | |
| }, | |
| "d3v1ll3n/persian-text-claim-detection": { | |
| "stars": 0, | |
| "desc": "Claim detection on a Persian dataset", | |
| "url": "https://github.com/d3v1ll3n/persian-text-claim-detection.git", | |
| "size_kb": 1861, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2023-08-14" | |
| }, | |
| "MobeenFatimaa/Insurance-Claim-Fraud-Detection-Dataset-Generator": { | |
| "stars": 0, | |
| "desc": "Synthetic dataset generator and 100k-row insurance claim dataset for machine learning, fraud detection, anomaly detection, and explainable AI (SHAP/LI", | |
| "url": "https://github.com/MobeenFatimaa/Insurance-Claim-Fraud-Detection-Dataset-Generator.git", | |
| "size_kb": 27, | |
| "q": "claim detection dataset", | |
| "lang": "Python", | |
| "pushed": "2026-08-17" | |
| }, | |
| "sruthisharma88/Insurance_claims_fraud_detection": { | |
| "stars": 0, | |
| "desc": "SOMTE analysis on an Imbalanced Insurance claim dataset", | |
| "url": "https://github.com/sruthisharma88/Insurance_claims_fraud_detection.git", | |
| "size_kb": 677, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-08-31" | |
| }, | |
| "Mehrab-Kalantari/Vehicle-Claim-Fraud-Detection": { | |
| "stars": 0, | |
| "desc": "Vehicle insurance claim fraud detection dataset analysis and modeling", | |
| "url": "https://github.com/Mehrab-Kalantari/Vehicle-Claim-Fraud-Detection.git", | |
| "size_kb": 1259, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2023-07-26" | |
| }, | |
| "MehrdadBN80/vehicle-Insurance_Claim_Fraud_Detection_dataset_classification": { | |
| "stars": 0, | |
| "desc": "", | |
| "url": "https://github.com/MehrdadBN80/vehicle-Insurance_Claim_Fraud_Detection_dataset_classification.git", | |
| "size_kb": 3576, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2023-05-21" | |
| }, | |
| "sapnasinha25/Fraudulent_Claim_Detection": { | |
| "stars": 0, | |
| "desc": "Fraudulent Claim Detection from a given dataset with application of Machine Learning technique", | |
| "url": "https://github.com/sapnasinha25/Fraudulent_Claim_Detection.git", | |
| "size_kb": 3073, | |
| "q": "claim detection dataset", | |
| "lang": null, | |
| "pushed": "2025-06-15" | |
| }, | |
| "ppal3297/Fraud-Detection-Challenge": { | |
| "stars": 0, | |
| "desc": "This dataset included policy holders personal, policy, claim, vehicle data and the task was to detect fraudulent claims from the given dataset.", | |
| "url": "https://github.com/ppal3297/Fraud-Detection-Challenge.git", | |
| "size_kb": 1855, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2019-05-08" | |
| }, | |
| "thrishikareddyp/claim-risk-profiler": { | |
| "stars": 0, | |
| "desc": "Fraud detection project using a synthetic insurance claims dataset", | |
| "url": "https://github.com/thrishikareddyp/claim-risk-profiler.git", | |
| "size_kb": 135, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-07-16" | |
| }, | |
| "OdinSword/Fraud-Detection-Challenge": { | |
| "stars": 0, | |
| "desc": "This dataset included policy holders personal, policy, claim, vehicle data and the task was to detect fraudulent claims from the given dataset", | |
| "url": "https://github.com/OdinSword/Fraud-Detection-Challenge.git", | |
| "size_kb": 1855, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2019-04-17" | |
| }, | |
| "vats1703/Insurance_Claim_Fraud_Detection": { | |
| "stars": 0, | |
| "desc": "Unsupervised Machine Learning Project to detect possible anomalies in unlabeled data from an insurance dataset", | |
| "url": "https://github.com/vats1703/Insurance_Claim_Fraud_Detection.git", | |
| "size_kb": 1189, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2024-04-18" | |
| }, | |
| "amit1998negi/insurance-fraud-detection-project": { | |
| "stars": 0, | |
| "desc": "It contains dataset to train and test claim frauds", | |
| "url": "https://github.com/amit1998negi/insurance-fraud-detection-project.git", | |
| "size_kb": 1779, | |
| "q": "claim detection dataset", | |
| "lang": null, | |
| "pushed": "2025-04-13" | |
| }, | |
| "nguyenha1311/insurance-claims-fraud-detection": { | |
| "stars": 0, | |
| "desc": "Detecting vehicle insurance claim fraud using EDA, SMOTE, and Logistic Regression classification on a Kaggle dataset.", | |
| "url": "https://github.com/nguyenha1311/insurance-claims-fraud-detection.git", | |
| "size_kb": 2811, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2026-05-29" | |
| }, | |
| "E-Chemweno/Fraud-Detection-Auto-Claims": { | |
| "stars": 0, | |
| "desc": "Analyzed auto claims dataset to detect fraud using logistic regression and tested the hypothesis that claims above $10k are fraudulent.", | |
| "url": "https://github.com/E-Chemweno/Fraud-Detection-Auto-Claims.git", | |
| "size_kb": 345, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2024-08-26" | |
| }, | |
| "BismaBRJ/car-claim-pred-fraud-cust-seg": { | |
| "stars": 0, | |
| "desc": "Claim prediction, fraud detection, and customer segmentation using the \"Vehicle Insurance Fraud Detection\" Kaggle dataset", | |
| "url": "https://github.com/BismaBRJ/car-claim-pred-fraud-cust-seg.git", | |
| "size_kb": 327, | |
| "q": "claim detection dataset", | |
| "lang": null, | |
| "pushed": "2025-10-20" | |
| }, | |
| "sankeerthsunnapu/medicare-fraud-detection": { | |
| "stars": 0, | |
| "desc": "Machine Learning project for detecting fraudulent healthcare providers using Medicare claim datasets.", | |
| "url": "https://github.com/sankeerthsunnapu/medicare-fraud-detection.git", | |
| "size_kb": 27292, | |
| "q": "claim detection dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2026-05-26" | |
| }, | |
| "Himanshusharma1005/Claims-AI-Processor": { | |
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| "desc": "98%+ Accurate Car Damage Detection using YOLOv8 fine-tuned on the CARDD Dataset", | |
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| "desc": "CS-SBU-2023 | Applying Fraud Detection on the Vehicle Insurance Claim dataset.", | |
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| "desc": "This project uses machine learning to detect fraudulent automobile insurance claims. The Jupyter Notebook analyzes an imbalanced dataset, processes fe", | |
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| "desc": "A machine learning project that detects potentially fraudulent insurance claims in real time using a cleaned and engineered insurance dataset, class i", | |
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| "desc": "Developed a predictive model to identify individuals at risk of heart disease using machine learning algorithms. Utilized a dataset containing medica ", | |
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| "desc": "End-to-end vehicle insurance claim fraud detection using XGBoost, Random Forest & Logistic Regression with SMOTE \u2014 achieves high recall on a heavily i", | |
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| "desc": "A publicly available dataset was utilized, and various machine learning algorithms were applied. The final deliverables include a comparative analysis", | |
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| "desc": "Utilized 8 supervised machine learning models in python to compare the accuracy of all models. This dataset has historical insurance claims and wants ", | |
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| "desc": "A curated Ethiopian-context dataset of misinformation claims designed for fact-checking, research, and AI-based misinformation detection.", | |
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| "desc": "In this project, you are provided a dataset which has the details of the insurance policy along with the customer details. It also has the details of ", | |
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| "desc": "A project to flag the fraudulent claims in insurance sector. Automate the creation of analytical dataset (ADS), cleaning it and then predicting the fr", | |
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| "desc": "This project aims to detect fraudulent insurance claims using machine learning techniques. The model is trained on a dataset of insurance claims to id", | |
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| "desc": "The objective was to identify claims which were likely to be rejected by the Travel Insurance Company. A Binary Class classification problem. Dataset ", | |
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| "desc": "This project aims to detect fraudulent insurance claims using supervised machine learning models. The dataset contains historical insurance claim reco", | |
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| "desc": "This dataset contains a curated collection of images of Chanel products gathered from various online sources, irrespective of their legitimacy. The ri", | |
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| "desc": "This classification dataset aims to identify fraudulent insurance claims. The XGBoost model achieved a high accuracy of 95%, leveraging features like ", | |
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| "desc": "Fraud detection analysis using fraudulent claims dataset to develop an effective model for detecting fraud while minimizing costs.", | |
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| "desc": "An AI-powered, multilingual NLP application designed to detect and debunk misinformation about genetically modified organisms (GMOs), specifically tar", | |
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| "desc": "An end-to-end NLP and Machine Learning project for fake news detection using TF-IDF and Logistic Regression, featuring a complete training pipeline, e", | |
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| "q": "misinformation dataset multilingual", | |
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| "desc": "Codes and data for \"EuroVerdict: A Multilingual Dataset for Verdict Generation Against Misinformation\"", | |
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| "q": "misinformation dataset multilingual", | |
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| "desc": "Develop a model capable of identifying misinformation in multilingual texts using open-source datasets from social media platforms", | |
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| "wuyoscar/VESKI_Colab_Research_Project.": { | |
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| "desc": "A multilingual research initiative detecting, classifying & countering COVID-19 misinformation on social media through AI-driven tools, open datasets ", | |
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| "desc": "Multilingual fact-checking model for Indic languages (Hindi, Nepali, Punjabi, Tamil, Telugu, Urdu) with adversarial attack and defense evaluation", | |
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| "q": "fact checking indic", | |
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| "desc": "BERT, ISBERT, SBERT as rumour detection baselines on PHEME dataset. Also on Indonesian Disinfo dataset. README for details.", | |
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| "desc": "Dataset Released", | |
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| "desc": "Rumour Detection using PHEME Dataset", | |
| "url": "https://github.com/Devarsh26/automatic-twitter-rumour-detection.git", | |
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| "desc": "Rumour detection using graph neural network and oversampling in benchmark Twitter dataset", | |
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| "desc": "Rumour detection on the PHEME dataset using traditional Machine Learning and Feature Engineering, without explicit textual content.", | |
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| "desc": "This repository contains details of my Term Project Rumour Detection On PHEME-RNR Dataset", | |
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| "desc": "rumour detection mode with Bert, ResNet-50 and GAT,use PHEME dataset", | |
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| "q": "rumour detection dataset", | |
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| "desc": "This repository pretend to be a prototype of how a federated learning framework can be used for rumor detection using graph-based analysis of the PHEM", | |
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| "LeadingIndiaAI/Development-and-Analysis-of-a-Neural-Network-Based-Model-for-Detection-of-Rumours": { | |
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| "desc": "Since the first RumourEval shared task in 2017, interest in automated claim validation has greatly increased, as the danger of \u201cfake news\u201d has become ", | |
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| "desc": "SIGIR 2022: GERE: Generative Evidence Retrieval for Fact Verification", | |
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| "q": "evidence retrieval fact verification", | |
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| "pushed": "2022-07-19" | |
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| "desc": "Code for EMNLP2021 paper \u201cLogic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification\u201d", | |
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| "q": "evidence retrieval fact verification", | |
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| "pushed": "2022-01-24" | |
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| "Namronaldo08102004/Vietfactcheck": { | |
| "stars": 2, | |
| "desc": "An NLP-powered fact-checking system designed to verify Vietnamese news and combat misinformation through claim detection, evidence retrieval, and auto", | |
| "url": "https://github.com/Namronaldo08102004/Vietfactcheck.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "kabrashrey/hallucination_resistant_multihop_qna": { | |
| "stars": 2, | |
| "desc": "Large language models tend to provide incorrect answers, known as hallucinations. This project will explore techniques for evidence retrieval, fact ve", | |
| "url": "https://github.com/kabrashrey/hallucination_resistant_multihop_qna.git", | |
| "size_kb": 71537, | |
| "q": "evidence retrieval fact verification", | |
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| "pushed": "2026-04-26" | |
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| "vishwjeet71/VeritasAI": { | |
| "stars": 1, | |
| "desc": "AI-powered fact verification system that analyzes claims using evidence retrieval, semantic search, and LLM reasoning.", | |
| "url": "https://github.com/vishwjeet71/VeritasAI.git", | |
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| "q": "evidence retrieval fact verification", | |
| "lang": "Python", | |
| "pushed": "2026-07-15" | |
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| "zyinghua/bert-for-climate-fever": { | |
| "stars": 1, | |
| "desc": "A BERT based system for Climate Fact Extration and VERification. Evidence Retrieval + Claim Label Classification, with two separate BERT training sche", | |
| "url": "https://github.com/zyinghua/bert-for-climate-fever.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "pushed": "2025-05-22" | |
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| "Arsalan80425/AI-Powered-Health-Misinformation-Detection-Verification-System": { | |
| "stars": 1, | |
| "desc": "\ud83c\udfe5 Combating medical misinformation with AI \u2014 real-time fact-checking, evidence retrieval, and risk analysis. AI-powered health misinformation detectio", | |
| "url": "https://github.com/Arsalan80425/AI-Powered-Health-Misinformation-Detection-Verification-System.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "pushed": "2025-08-31" | |
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| "zaoshuidy/AI-CERNO": { | |
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| "desc": "Strict retrieval-augmented fact verification with multi-model consensus. Verify claims against web and Wikipedia evidence using Qwen, DeepSeek, or any", | |
| "url": "https://github.com/zaoshuidy/AI-CERNO.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "pushed": "2026-05-15" | |
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| "Polo-Marco/AICUP-2023-MIG": { | |
| "stars": 1, | |
| "desc": "AICUP 2023 fact verification system using PERT-large and RoBERTa for document retrieval, evidence extraction, and claim validation. Ranked 4th on the ", | |
| "url": "https://github.com/Polo-Marco/AICUP-2023-MIG.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "pushed": "2025-06-18" | |
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| "sarathi-vs13/Fakenews_Detector_MultiAgent_Project": { | |
| "stars": 1, | |
| "desc": "Fakenews_Detector is a project that fact-checks any claim using four LangGraph agents \u2014 evidence retrieval, source verification, critic, and final ver", | |
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| "q": "evidence retrieval fact verification", | |
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| "desc": "AI-powered candidate ranking system for the Redrob Hackathon \u2014 LightGBM LambdaMART ranker with engineered career-signal features (retrieval evidence, ", | |
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| "desc": "VeriGraph AI is an AI-powered fact-checking platform that verifies claims using LLMs, Retrieval-Augmented Generation (RAG), trusted web sources, and c", | |
| "url": "https://github.com/AyushPatwa11/VeriGraph-AI.git", | |
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| "desc": "TruthTrace-LLM is an end-to-end, AI-powered fact-verification and evidence retrieval platform", | |
| "url": "https://github.com/Srujan4812/TruthTrace-LLM_.git", | |
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| "desc": "Evidence Retrieval for Fact Verification", | |
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| "desc": " An AI-driven fact-checking engine that validates text integrity against real-time data.Claim Extraction, Evidence Retrieval,Verification & Reporting,", | |
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| "desc": "AI-powered fact-checking platform that verifies claims, headlines, URLs, and trending news using real-time evidence retrieval and credibility scoring.", | |
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| "desc": "Built a multi-agent Retrieval-Augmented Generation (RAG) system that autonomously performs market research, internal document intelligence, fact-verif", | |
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| "desc": "[SUBMISSION VERSION FOR AI LAB 2026 SYSU] TruthForge is an open-source multi-agent fact-checking system that verifies online claims using traceable ev", | |
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| "desc": "Developed a Retrieval-Augmented Generation (RAG) system to minimize hallucinations in NLP models by grounding text generation on verified external kno", | |
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| "q": "evidence retrieval fact verification", | |
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| "desc": "An AI-powered fact-checking platform that verifies claims from text, images, and URLs using NLP, Retrieval-Augmented Generation (RAG), OCR, and eviden", | |
| "url": "https://github.com/SamruddhiSKa/VERIFACT-AI.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "desc": "EviRank is a Python-based fact verification pipeline designed to retrieve and rank evidence for claims using a hybrid method combining traditional and", | |
| "url": "https://github.com/hamzakhanx9/Evirank.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "shubham001official/truthscanner-ai": { | |
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| "desc": "TruthScanner AI is a real-time fact-checking engine that uses Retrieval-Augmented Generation (RAG), Groq-powered LLM inference, and live web search vi", | |
| "url": "https://github.com/shubham001official/truthscanner-ai.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "LetThereBeErr0rs/Parakh": { | |
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| "desc": "Parakh is an enterprise AI fact-checking platform that instantly verifies claims across text, URLs, and images. Powered by Retrieval-Augmented Generat", | |
| "url": "https://github.com/LetThereBeErr0rs/Parakh.git", | |
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| "q": "evidence retrieval fact verification", | |
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| "stars": 45, | |
| "desc": "Multi-dataset stance detection and robustness experiments", | |
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| "q": "stance detection dataset", | |
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| "pushed": "2023-07-06" | |
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| "ZurichNLP/xstance": { | |
| "stars": 42, | |
| "desc": "A Multilingual Multi-Target Dataset for Stance Detection", | |
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| "q": "stance detection dataset", | |
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| "pushed": "2024-06-17" | |
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| "Leon-Francis/Multi-Modal-Stance-Detection": { | |
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| "desc": "Released code and datas for\u300cMulti-modal Stance Detection: New Datasets and Model\u300din ACL2024.", | |
| "url": "https://github.com/Leon-Francis/Multi-Modal-Stance-Detection.git", | |
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| "q": "stance detection dataset", | |
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| "pushed": "2024-06-10" | |
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| "desc": "Detection of two phases (swing and stance) phase from the IMU datasets.", | |
| "url": "https://github.com/sauravsocial/gait_phase_detection.git", | |
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| "q": "stance detection dataset", | |
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| "q": "stance detection dataset", | |
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| "desc": "Checks for the Stance detection in a unlabeled news dataset.", | |
| "url": "https://github.com/Abhinav1004/Fake-News-Stance-Detection.git", | |
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| "q": "stance detection dataset", | |
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| "liviucotfas/covid-19-vaccination-stance-detection": { | |
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| "desc": "This repository contains the annotated dataset, the unigrams, bigrams and trigrams referenced in the paper \"The Longest Month: Analyzing the Dynamics ", | |
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| "desc": "Stance detection, the task of identifying the speaker's opinion towards a particular target, has attracted the attention of researchers. This paper d", | |
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| "q": "stance detection dataset", | |
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| "chenyez/ZeroStance": { | |
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| "desc": "This is the repository for our ACL2024 Findings paper: ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation", | |
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| "q": "stance detection dataset", | |
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| "desc": "A modern CLI that adds natural language explanations to labeled datasets using Google Gemini. Primarily designed to generate explanations for the USta", | |
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| "q": "stance detection dataset", | |
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| "Surpriseshelf/StanceSSR": { | |
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| "desc": "A collection of stance detection datasets based on SemEval2016 Task 6 to assert whether stance detection models understand the task or simply overfit ", | |
| "url": "https://github.com/Surpriseshelf/StanceSSR.git", | |
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| "q": "stance detection dataset", | |
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| "jiqis/DistilBERT-Attention-News-Stance-Detection": { | |
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| "desc": "The aims this program is to doing Multi class classification for FNC-1 Dataset. I built in simple way.", | |
| "url": "https://github.com/jiqis/DistilBERT-Attention-News-Stance-Detection.git", | |
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| "q": "stance detection dataset", | |
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| "desc": "Codes for the accepted paper in ICDM 2023: \"Contextual Target-Specific Stance Detection on Twitter: New Dataset and Method\".", | |
| "url": "https://github.com/TrustworthyComp/ICDM2023-Contextual-Stance.git", | |
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| "q": "stance detection dataset", | |
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| "TrustworthyComp/TCSS-2023-CSD": { | |
| "stars": 2, | |
| "desc": "Dataset and Codes for the accepted paper in IEEE transactions on computational social systems: \"Improved Target-specific Stance Detection on Social Me", | |
| "url": "https://github.com/TrustworthyComp/TCSS-2023-CSD.git", | |
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| "Zarharan/PersianStanceDetection": { | |
| "stars": 1, | |
| "desc": "The first Persian stance detection dataset and model", | |
| "url": "https://github.com/Zarharan/PersianStanceDetection.git", | |
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| "q": "stance detection dataset", | |
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| "inori0cc/Stance_detection_datasets": { | |
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| "desc": "The stance detection open source dataset", | |
| "url": "https://github.com/inori0cc/Stance_detection_datasets.git", | |
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| "q": "stance detection dataset", | |
| "lang": "Python", | |
| "pushed": "2024-10-01" | |
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| "rmacias3/stance_detection": { | |
| "stars": 1, | |
| "desc": "Pytorch model for stance detection in Fake News Challenge Dataset", | |
| "url": "https://github.com/rmacias3/stance_detection.git", | |
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| "q": "stance detection dataset", | |
| "lang": "Jupyter Notebook", | |
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| "liviucotfas/covid-19-mask-stance-detection": { | |
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| "desc": "This repository contains the annotated dataset, the unigrams, bigrams and trigrams referenced in the paper \"Unmasking People\u2019s Opinions behind Mask We", | |
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| "desc": "Language Identification of Bengali-English Code-Mixed data using Character & Phonetic Encoding based LSTM Model", | |
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| "desc": "Telugu-English code-mixed language identification \u2014 DataSci 266 NLP course project", | |
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| "desc": "Shared Task on Offensive Language Identification in Dravidian Code-Mixed Languages (DravidianCodeMix @ FIRE 2025)", | |
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| "desc": "Baseline models for Word-level Code-Mixed Language Identification in Dravidian Languages", | |
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| "desc": "WoLLaI: Word Level Language Identification of Malayalam-English Code-Mixed text", | |
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| "desc": "This project identify sarcasm and sentiment polarity of the code-mixed dataset of comments/posts in Tamil-English and Malayalam-English collected from", | |
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| "desc": "Word Level Language Identification in Code-Mixed Data using Word Embedding Methods for Indian languages", | |
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| "desc": "CoLI-Tunglish: Word-level Language Identification in Code-mixed Tulu Texts Task Submission.", | |
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| "desc": "code for Learning Approaches for Code-mixed Language Identification at Word Level in Kannada-English Texts", | |
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| "desc": "OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification", | |
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| "desc": "A research-ready Bengali\u2013English code-mixed NLP toolkit for language identification, Romanized Bengali normalization, transliteration, code-switch ana", | |
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| "desc": "Codebase for the work titled \"Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts\"", | |
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| "desc": "SyMCoM Tamil analyzes Tamil-English code-mixed text using NLP techniques including token-level language identification and POS tagging. It leverages I", | |
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| "desc": "This is a webpage for track Code-Mixed Text Generation and Identification in low-resource Indian language (TriMixGen-Indic)", | |
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| "desc": "A word-level language identification system for Roman Urdu\u2013English code-switched text, addressing the gap where standard NLP tools assume single-langu", | |
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| "desc": "Large-scale Indian names dataset processing: Unicode cleaning, Devanagari/Gurmukhi transliteration, name parsing, religion classification, frequency a", | |
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| "desc": "trained a google t5 sequence to sequence model for Indic to English Transliteration using Aksharantar Dataset", | |
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| "desc": "The first Dialectal Arabic Code Switching - DACS corpus from broadcast speech. Annotated at the token-level, considering both the linguistic and the a", | |
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| "desc": "Rajasthani-Hindi Code-Switched NLP Corpus and Models (RajNLP-50K)", | |
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| "desc": "In a task oriented domain, recognizing the intention of a speaker is important so that the conversation can proceed in the correct direction. This is ", | |
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| "desc": "Canberra Vietnamese-English Corpus (Code-switching)", | |
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| "desc": "TREN is an application that provides researchers with an interactive environment for the semi-automatic annotation and analysis of Turkish\u2013English cod", | |
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| "desc": "Euska\u00f1olDS: A Naturally Sourced Corpus for Basque-Spanish Code-Switching", | |
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| "desc": "An annotated corpus of Turkish\u2013English intra-word code-switching collected from Reddit and annotated using the TREN application. The corpus includes t", | |
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| "desc": "An English-Spanish code switching dataset adapted from the Miami-Corpus", | |
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| "desc": "Multi-tier Urdu speech corpus with ELAN annotation \u2014 transcription, prosody, disfluency, code-switching", | |
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| "desc": "This project aims at providing facilitation to Indian multilingual speakers by handling vernacular code switched requests made by users while conversi", | |
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| "desc": "Pakistan's first open-source fine-tuned Urdu LLM \u2014 Llama 3.2-1B fine-tuned on Pakistani corpus using QLoRA. Covers Urdu literature, Islamic knowledge,", | |
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| "desc": "Metrics for code-switching corpus", | |
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| "desc": "A small English\u2013Twi code-switching corpus with token-level language annotations and baseline models that compare sentence-only and context-aware langu", | |
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| "desc": "Analysis of Spanish-English code-switching from the Miami Corpus.", | |
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| "desc": "VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation", | |
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| "desc": "A simple language learning web app that facilitates learning spanish by using parallel corpuses to create a code switching interface.", | |
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| "desc": "Kazakh-Russian Code-Switching Corpus", | |
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| "desc": "Reproducible Python pipeline for conservative Spanish-English code-switching analysis in the Bangor Miami Corpus.", | |
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| "desc": "Token-level language ID and code-switching statistics for Twi\u2013English conversational data.", | |
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| "desc": "Bangor Arabic\u2013English Code-switching corpus", | |
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| "priya-rajeev/CorpusCleaning": { | |
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| "desc": "This is a website built to help us clean our OEMCS (online English-Mandarin code-switching) corpus. This web interface lets participants verify our co", | |
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| "desc": "Code-switching detection in the Corpus of Early English Medical Writing (1375-1800)", | |
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| "desc": "MECOS: A bilingual Manipuri\u2013English spontaneous code-switching speech corpus for automatic speech recognition", | |
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| "desc": "A parallel corpus of English and \"Tswanglish\" (English\u2013Setswana code-switched) mathematics classroom discourse for machine translation and multilingua", | |
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| "desc": "MESocSentiment: Code-Switched Malay-English Sentiment Analysis Corpus From Social Media Data ", | |
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| "desc": "CMI-stratified and switch-point error analysis for Yoruba-English code-switched ASR on the YECS corpus", | |
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| "desc": "This repository contains the work of hypothesis testing of code-switching (including Nudge) in Miami-Bangor Corpus.", | |
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| "desc": "Corpus data and analysis code for intergenerational variation study of Kakataibo switch-reference", | |
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| "desc": "Synthesizing code-switching data from a language model that was trained only on parallel or separate monolingual corpuses over two languages", | |
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| "desc": "The corpus consists of comments on Urdu drama posted on a website. The comments were in Roman Urdu with code switching to English.", | |
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| "desc": "In this case try to classify TamilSentiMix DataSet gold standard Tamil-English code-switched, sentiment-annotated corpus containing 15,744 comment pos", | |
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| "AleRosas-27/w266_spanglish-humor-nlp": { | |
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| "desc": "W266 final project on detecting humor in Spanglish code-switched text. Built an 8,000-tweet bilingual corpus and evaluated multilingual transformers (", | |
| "url": "https://github.com/AleRosas-27/w266_spanglish-humor-nlp.git", | |
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| "q": "code switching corpus", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-12-05" | |
| }, | |
| "ojesusmp/voz": { | |
| "stars": 0, | |
| "desc": "Write like a human, kill AI-writing tells, and switch voice register to fit the reader. A Claude Code skill grounded in Wikipedia:Signs of AI writing ", | |
| "url": "https://github.com/ojesusmp/voz.git", | |
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| "q": "code switching corpus", | |
| "lang": "Python", | |
| "pushed": "2026-06-16" | |
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| "harjeet-blue/Multimodal-hateful-meme-detection": { | |
| "stars": 6, | |
| "desc": "Multimodal (Visuals & Language) hateful memes detection: on Hateful memes challenge dataset ", | |
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| "q": "multimodal hate meme dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2023-05-20" | |
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| "namitashukla/Hate-Meme-Detection-Multimodality": { | |
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| "desc": "Hateful meme detection is a well-known research area that requires both visual and lin- guistic understanding. It matters because in today\u2019s world inf", | |
| "url": "https://github.com/namitashukla/Hate-Meme-Detection-Multimodality.git", | |
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| "q": "multimodal hate meme dataset", | |
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| "pushed": "2022-05-23" | |
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| "Abdul-Rehman-J/Dataset-Multimodal-Religiously-Hateful-Memes-Classification-using-Deep-Learning": { | |
| "stars": 2, | |
| "desc": "Multimodal Religiously Hateful Memes Classification using Deep Learning", | |
| "url": "https://github.com/Abdul-Rehman-J/Dataset-Multimodal-Religiously-Hateful-Memes-Classification-using-Deep-Learning.git", | |
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| "q": "multimodal hate meme dataset", | |
| "lang": null, | |
| "pushed": "2021-11-16" | |
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| "AlistairBiswas/Hatefull_Meme_Classification": { | |
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| "desc": "This is my CSE 4th year 1st semester Soft Computing Lab project. MUTE is a multimodal dataset for bengali hateful memes. In these project, the dataset", | |
| "url": "https://github.com/AlistairBiswas/Hatefull_Meme_Classification.git", | |
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| "q": "multimodal hate meme dataset", | |
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| "pushed": "2025-01-30" | |
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| "nagarjuna1995/Text-Analytics-Project--Fall-2020": { | |
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| "desc": "This project addresses the hate speech through building a multimodal classifier on Facebook hateful memes dataset", | |
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| "q": "multimodal hate meme dataset", | |
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| "desc": "CRAVE-Bench is a synthetic multimodal benchmark dataset designed to evaluate cross-cultural bias in vision-language models (VLMs) for hateful meme det", | |
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| "q": "multimodal hate meme dataset", | |
| "lang": "Python", | |
| "pushed": "2026-02-15" | |
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| "q": "multimodal hate meme dataset", | |
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| "Vida181105/Multimodal-Hateful-Memes-Detection": { | |
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| "desc": "Multimodal deep learning pipeline for hateful meme detection. Combines image and text features through fusion layers for binary classification on the ", | |
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| "q": "multimodal hate meme dataset", | |
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| "shruti-sivakumar/Multimodal-Hateful-Memes-Detection": { | |
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| "desc": "Multimodal deep learning pipeline for hateful meme detection. Combines image and text features through fusion layers for binary classification on the ", | |
| "url": "https://github.com/shruti-sivakumar/Multimodal-Hateful-Memes-Detection.git", | |
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| "q": "multimodal hate meme dataset", | |
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| "pushed": "2026-03-02" | |
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| "haykavetisyan98/hateful-meme-challenge": { | |
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| "desc": "The Hateful Memes Challenge and Dataset is a competition and open source dataset designed to measure progress in multimodal vision-and-language classi", | |
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| "q": "multimodal hate meme dataset", | |
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| "AdarshVL/Explainable_Hate_Meme_Detection_Using_Multimodal_AI": { | |
| "stars": 0, | |
| "desc": "The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding.", | |
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| "q": "multimodal hate meme dataset", | |
| "lang": "Python", | |
| "pushed": "2026-06-26" | |
| }, | |
| "abd-khan567/Hateful-Memes-Classification-using-Multimodal-Deep-Learning": { | |
| "stars": 0, | |
| "desc": "This project tackles multimodal classification of memes using the Hateful Memes dataset. It integrates both image and text inputs using PyTorch, and e", | |
| "url": "https://github.com/abd-khan567/Hateful-Memes-Classification-using-Multimodal-Deep-Learning.git", | |
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| "q": "multimodal hate meme dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-06-24" | |
| }, | |
| "rajviparekh/Hateful-Meme-Detection-using-Multimodal-Deep-Learning-and-CLIP": { | |
| "stars": 0, | |
| "desc": "This project detects hateful memes by leveraging CLIP for multimodal feature extraction and a novel attention-based model. Our approach achieves high ", | |
| "url": "https://github.com/rajviparekh/Hateful-Meme-Detection-using-Multimodal-Deep-Learning-and-CLIP.git", | |
| "size_kb": 3729, | |
| "q": "multimodal hate meme dataset", | |
| "lang": null, | |
| "pushed": "2025-01-22" | |
| }, | |
| "eftekhar-hossain/MemoSen": { | |
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| "desc": "[LREC'22] MemoSen: A Multimodal Dataset for Sentiment Analysis of Bengali Memes.", | |
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| "q": "meme dataset sentiment", | |
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| "pushed": "2023-09-05" | |
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| "pramanik-souvik/MemoSen-Multimodal-Sentiment-Analysis": { | |
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| "desc": "This repository contains the implementation of a culturally and linguistically responsive multimodal sentiment analysis system for Bengali memes, comb", | |
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| "q": "meme dataset sentiment", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-12-19" | |
| }, | |
| "Tobyzzz-1/jubilant-meme": { | |
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| "desc": "Unsupervised sentiment analysis performed on the twitter sentiment analysis dataset using lexicon and word-vectorization approach ", | |
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| "q": "meme dataset sentiment", | |
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| "pushed": "2024-04-28" | |
| }, | |
| "fatemafaria142/SentimentFormer-A-Transformer-Based-Multi-Modal-Fusion-Framework-for-Sentiment-Analysis-of-Memes": { | |
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| "desc": " This research developed a multimodal sentiment analysis framework for Bengali memes using the MemoSen dataset, leveraging both text and image data. I", | |
| "url": "https://github.com/fatemafaria142/SentimentFormer-A-Transformer-Based-Multi-Modal-Fusion-Framework-for-Sentiment-Analysis-of-Memes.git", | |
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| "q": "meme dataset sentiment", | |
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| }, | |
| "ArsalQlu/Memes-Sentiment-Analysis": { | |
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| "desc": "Did Sentiment & Humor Classification on Meme Images Dataset", | |
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| "q": "meme dataset sentiment", | |
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| "pushed": "2023-07-09" | |
| }, | |
| "Eman-Furrukh/Sentiment-Classification": { | |
| "stars": 0, | |
| "desc": "Was required to work on the provided meme\u2019s dataset. The dataset consists of two types of data. i.e., images and text.", | |
| "url": "https://github.com/Eman-Furrukh/Sentiment-Classification.git", | |
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| "q": "meme dataset sentiment", | |
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| }, | |
| "fatima344/MemeSent-Sentiment-Analysis-of-Internet-Memes-using-Sklearn-and-Flask": { | |
| "stars": 0, | |
| "desc": "The Meme Sentiment Classifier is a Python project that aims to classify internet memes as positive, very positive, negative, very negative, or neutral", | |
| "url": "https://github.com/fatima344/MemeSent-Sentiment-Analysis-of-Internet-Memes-using-Sklearn-and-Flask.git", | |
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| "q": "meme dataset sentiment", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2023-06-18" | |
| }, | |
| "hibaimrn/Sentiment-Analysis": { | |
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| "desc": "Working on a provided meme dataset containing both images and text. The primary objective is sentiment classification, where memes are classified as p", | |
| "url": "https://github.com/hibaimrn/Sentiment-Analysis.git", | |
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| "q": "meme dataset sentiment", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2024-05-16" | |
| }, | |
| "debugat2am/multimodal-sentiment-analysis": { | |
| "stars": 0, | |
| "desc": "A deep learning based multimodal sentiment analysis framework integrating DistilBERT and Vision Transformers (ViT) for sentiment classification on tex", | |
| "url": "https://github.com/debugat2am/multimodal-sentiment-analysis.git", | |
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| "q": "meme dataset sentiment", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2026-05-22" | |
| }, | |
| "Lihini0202/meme-stock-insights": { | |
| "stars": 0, | |
| "desc": "A Streamlit app for exploring and visualizing meme stock data using trained models and synthetic datasets, featuring interactive filters, sentiment an", | |
| "url": "https://github.com/Lihini0202/meme-stock-insights.git", | |
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| "q": "meme dataset sentiment", | |
| "lang": "Python", | |
| "pushed": "2025-12-05" | |
| }, | |
| "KingsleyTechie/MemeToken-Classifier": { | |
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| "desc": "A deep learning and transfer learning\u2013based framework for meme token classification, integrating historical cryptocurrency data with real-time social ", | |
| "url": "https://github.com/KingsleyTechie/MemeToken-Classifier.git", | |
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| "q": "meme dataset sentiment", | |
| "lang": null, | |
| "pushed": "2025-10-26" | |
| }, | |
| "SimD6/data_science_toxicity_on_youtube": { | |
| "stars": 1, | |
| "desc": "We decide to work with media content from Youtube platform. The given dataset contains information about the comments and the channels of a video. The", | |
| "url": "https://github.com/SimD6/data_science_toxicity_on_youtube.git", | |
| "size_kb": 12454, | |
| "q": "video toxicity dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-08-20" | |
| }, | |
| "jasoncarneiro1998/Toxicite-Youtube": { | |
| "stars": 0, | |
| "desc": "The purpose of this dataset is to measure the toxicity of a video on Youtube. ", | |
| "url": "https://github.com/jasoncarneiro1998/Toxicite-Youtube.git", | |
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| "q": "video toxicity dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2021-04-03" | |
| }, | |
| "ICTMCG/FakeSV": { | |
| "stars": 182, | |
| "desc": "Official repository for \"FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms\", AAAI 2023.", | |
| "url": "https://github.com/ICTMCG/FakeSV.git", | |
| "size_kb": 257, | |
| "q": "multimodal misinformation dataset", | |
| "lang": "Python", | |
| "pushed": "2024-09-02" | |
| }, | |
| "UKPLab/acl2026-misleading-visualizations": { | |
| "stars": 6, | |
| "desc": "Code and datasets accompanying the ACL 2026 Main conference paper: \"Protecting multimodal large language models against misleading visualizations\"", | |
| "url": "https://github.com/UKPLab/acl2026-misleading-visualizations.git", | |
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| "q": "multimodal misinformation dataset", | |
| "lang": "JavaScript", | |
| "pushed": "2026-04-29" | |
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| "grantzyr/MM-Health-Dataset": { | |
| "stars": 3, | |
| "desc": "[EMNLP 2025 Findings] Official repo for paper: From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation", | |
| "url": "https://github.com/grantzyr/MM-Health-Dataset.git", | |
| "size_kb": 45, | |
| "q": "multimodal misinformation dataset", | |
| "lang": "Python", | |
| "pushed": "2025-11-21" | |
| }, | |
| "FinalYou/M3A": { | |
| "stars": 2, | |
| "desc": "M3A : A Multimodal Misinformation Dataset for Media Authenticity Analysis", | |
| "url": "https://github.com/FinalYou/M3A.git", | |
| "size_kb": 822, | |
| "q": "multimodal misinformation dataset", | |
| "lang": null, | |
| "pushed": "2026-07-15" | |
| }, | |
| "zachos99/convex-dataset": { | |
| "stars": 1, | |
| "desc": "Repository for \u201cThe Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation\u201d paper.", | |
| "url": "https://github.com/zachos99/convex-dataset.git", | |
| "size_kb": 26603, | |
| "q": "multimodal misinformation dataset", | |
| "lang": "Python", | |
| "pushed": "2026-06-11" | |
| }, | |
| "faziaakhtar-hub/multimodal-misinformation-detector": { | |
| "stars": 0, | |
| "desc": "\"Multimodal fake news detection using CLIP (Vision-Language Transformer) on the Fakeddit dataset.\"", | |
| "url": "https://github.com/faziaakhtar-hub/multimodal-misinformation-detector.git", | |
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| "q": "multimodal misinformation dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2026-07-08" | |
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| "vipingupta1907/MVEFND_ECL": { | |
| "stars": 0, | |
| "desc": "dataset and code for paper \"Audio-Video Embedded Multimodal Misinformation Detection with Multimodal Emotion using Contrastive Learning\"", | |
| "url": "https://github.com/vipingupta1907/MVEFND_ECL.git", | |
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| "q": "multimodal misinformation dataset", | |
| "lang": null, | |
| "pushed": "2022-03-02" | |
| }, | |
| "pulkit48/Sifting-Truth-from-Spectacle-A-Multimodal-Hindi-Dataset-for-Misinformation-Detection": { | |
| "stars": 0, | |
| "desc": "", | |
| "url": "https://github.com/pulkit48/Sifting-Truth-from-Spectacle-A-Multimodal-Hindi-Dataset-for-Misinformation-Detection.git", | |
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| "q": "multimodal misinformation dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2026-02-03" | |
| }, | |
| "Emile-Lucky-Muhigira/Multimodal-Image-Text-Misinformation-Detection": { | |
| "stars": 0, | |
| "desc": "Multimodal detection uses image\u2013text consistency to flag misinformation. This study adapts a Fakeddit-trained model to African media using a 178-examp", | |
| "url": "https://github.com/Emile-Lucky-Muhigira/Multimodal-Image-Text-Misinformation-Detection.git", | |
| "size_kb": 2640, | |
| "q": "multimodal misinformation dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2026-05-05" | |
| }, | |
| "ghalsasinachiket-creator/misinformation-checker": { | |
| "stars": 0, | |
| "desc": "A multimodal misinformation detector that flags misleading image-caption pairs using a fine-tuned CLIP model with GradCAM explainability. Built with P", | |
| "url": "https://github.com/ghalsasinachiket-creator/misinformation-checker.git", | |
| "size_kb": 17, | |
| "q": "multimodal misinformation dataset", | |
| "lang": "Python", | |
| "pushed": "2026-05-26" | |
| }, | |
| "nsaadcs-cmd/TweFuse-W-using-Fakeedit-dataset": { | |
| "stars": 0, | |
| "desc": "TweFuse-W is a lightweight multimodal fake news detection model that combines BERTweet for text and Swin Transformer for images using an adaptive gate", | |
| "url": "https://github.com/nsaadcs-cmd/TweFuse-W-using-Fakeedit-dataset.git", | |
| "size_kb": 15, | |
| "q": "multimodal misinformation dataset", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2025-12-18" | |
| }, | |
| "aryoshine/fake-news-detector": { | |
| "stars": 0, | |
| "desc": "Multimodal fake news detection web app built with Streamlit. Classifies misinformation in text articles and videos using DistilBERT, CLIP, and Whisper", | |
| "url": "https://github.com/aryoshine/fake-news-detector.git", | |
| "size_kb": 115, | |
| "q": "multimodal misinformation dataset", | |
| "lang": "Python", | |
| "pushed": "2026-02-28" | |
| }, | |
| "kmist70/fake-news-detector": { | |
| "stars": 0, | |
| "desc": "[COLLAB] Multimodal fake news detection web app built with Streamlit. Classifies misinformation in text articles and videos using DistilBERT, CLIP, an", | |
| "url": "https://github.com/kmist70/fake-news-detector.git", | |
| "size_kb": 71, | |
| "q": "multimodal misinformation dataset", | |
| "lang": "Python", | |
| "pushed": "2026-08-04" | |
| }, | |
| "bitreaper42/DC_Indic": { | |
| "stars": 0, | |
| "desc": "Scene-text dataset with polygon annotations and evaluation suite for IndicPhotoOCR multi-script OCR on Indian language images from Jodhpur and IITJ ca", | |
| "url": "https://github.com/bitreaper42/DC_Indic.git", | |
| "size_kb": 144702, | |
| "q": "indic ocr dataset", | |
| "lang": "Python", | |
| "pushed": "2025-11-17" | |
| }, | |
| "ussooraj/M-Synth": { | |
| "stars": 0, | |
| "desc": "High-Fidelity Synthetic OCR Dataset Generator for Indic Scripts", | |
| "url": "https://github.com/ussooraj/M-Synth.git", | |
| "size_kb": 209, | |
| "q": "indic ocr dataset", | |
| "lang": "Python", | |
| "pushed": "2026-05-25" | |
| }, | |
| "Sandyyy123/multilingual-ocr-dataset-generator": { | |
| "stars": 0, | |
| "desc": "faker + reportlab synthetic multilingual document generator (30+ locales, 15 scripts incl. 9 Indic + RTL) with ground-truth JSON and scan-degradation ", | |
| "url": "https://github.com/Sandyyy123/multilingual-ocr-dataset-generator.git", | |
| "size_kb": 13, | |
| "q": "indic ocr dataset", | |
| "lang": "Python", | |
| "pushed": "2026-06-29" | |
| }, | |
| "PranjalSrivastava361/got-ocr-indic": { | |
| "stars": 0, | |
| "desc": "Implementation and fine-tuning of GOT-OCR 2.0 for Indic language text recognition. The repository provides dataset preprocessing pipelines, modular tr", | |
| "url": "https://github.com/PranjalSrivastava361/got-ocr-indic.git", | |
| "size_kb": 22, | |
| "q": "indic ocr dataset", | |
| "lang": "Python", | |
| "pushed": "2025-09-07" | |
| }, | |
| "ShravanMate/synthetic-manuscript-generator": { | |
| "stars": 0, | |
| "desc": "Synthetic Indic manuscript generator with synchronized ground-truth annotations for OCR dataset generation.", | |
| "url": "https://github.com/ShravanMate/synthetic-manuscript-generator.git", | |
| "size_kb": 10774, | |
| "q": "indic ocr dataset", | |
| "lang": "Python", | |
| "pushed": "2026-08-13" | |
| }, | |
| "krishna-marathe/Indic-annotation-platform": { | |
| "stars": 0, | |
| "desc": "India-focused data annotation platform providing high-quality speech, OCR, and computer vision datasets. Built for AI startups, researchers, and gover", | |
| "url": "https://github.com/krishna-marathe/Indic-annotation-platform.git", | |
| "size_kb": 593783, | |
| "q": "indic ocr dataset", | |
| "lang": "Python", | |
| "pushed": "2026-01-22" | |
| }, | |
| "Vishwanath-06/BhashaSethu": { | |
| "stars": 1, | |
| "desc": "BhashaSetu (Sanskrit for \"Language Bridge\") is an AI-powered document-level machine translation workspace designed specifically for low-resource Indic", | |
| "url": "https://github.com/Vishwanath-06/BhashaSethu.git", | |
| "size_kb": 45, | |
| "q": "document ai indic", | |
| "lang": "Python", | |
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| "desc": "Face forgery techniques such as Generative Adversarial Network (GAN) have been widely used for image synthesis in movie production, journalism, etc. W", | |
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| "desc": "A deep learning prototype using Convolutional Neural Networks (CNNs) for deepfake detection, achieving 92% accuracy on the test dataset. Designed as a", | |
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| "desc": "Developed a real-time web app using Python and Streamlit to detect GAN-generated fake face images. Leveraged a fine-tuned MobileNetV3 model trained on", | |
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| "desc": "DeepFakeNews Dataset for multimodal deepfake detection", | |
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| "ahmdmohamedd/Deepfake-Detection-System": { | |
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| "desc": "A deepfake detection system using a CNN model trained on the FaceForensics++ dataset. Achieved 100% accuracy and effectively detects manipulated image", | |
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| "desc": "This is a project through which I have detected whether a image is fake or real. I have used the dataset https://www.kaggle.com/datasets/fatimahirshad", | |
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| "desc": "Code and dataset for the paper - SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms", | |
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| "pushed": "2019-11-23" | |
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| "fakubwoy/Deepfake_detection": { | |
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| "desc": "This repository provides a solution for detecting and reporting deepfake videos using MTCNN and Inception ResNet. The model, fine-tuned on the FaceFor", | |
| "url": "https://github.com/fakubwoy/Deepfake_detection.git", | |
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| "vrushabh07/DEEPFAKE-DETECTION": { | |
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| "desc": "The speedy development in Deepfake technology and manipulation has now come to a degree in which it increases sizeable worries for the consequences i", | |
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| "Rohit27037/DeepFake_Detection": { | |
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| "desc": "Evaluation on DFDC and AvLips datasets", | |
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| "desc": "Break language barriers instantly \u2014 IndicBridge enables real-time, two-way speech translation across all 22 official Indian languages. Simply hold the", | |
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| "desc": "Vaani Anuvad: Speech-to-Speech Indic Translation System", | |
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| "desc": "AI Sign Language and Speech Translation System that translates ASL to all indic languages, along with speech recognition. ", | |
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| "q": "speech translation indic", | |
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| "pushed": "2024-09-18" | |
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| "billakanti-vignesh/OMNI-INDIC-Translation-Suite-main": { | |
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| "desc": "A multimodal AI-powered translation suite supporting text, voice, OCR, PDF, transliteration, and text-to-speech for 7+ Indian languages using FastAPI,", | |
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| "desc": "This project provides a fully offline, real-time speech transcription and translation pipeline. It takes English speech (via a live microphone or pre-", | |
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| "q": "speech translation indic", | |
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| "Sowmya-21/Basha-Kahani---Storyteller-Of-India": { | |
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| "desc": "Basha Kahani \u2013 Storyteller of India is a Streamlit-based Indic AI chatbot supporting 20+ Indian languages. It offers translation, text-to-speech, meme", | |
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| "desc": "\"Real-time Indic speech translation with Whisper, NLLB-200, and TTS\"", | |
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| "q": "speech translation indic", | |
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| "Aman-Anand-Code/IndicSpeechBridge-Low-Resource-Speech-Translation": { | |
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| "q": "speech translation indic", | |
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| "desc": "Build for bharat indic text translation with speech to text and image to text and translation support.", | |
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| "DebarkDutta-24/indicVoice": { | |
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| "desc": "An EdTech & NLP web application built with Flask for speech/text transcription and multi-language Indian translation.", | |
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| "desc": "A computer vision application that translates Indian Sign Language (ISL) gestures into text and speech.", | |
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| "desc": "Phone number OSINT toolkit with multi-API search (Google, GitHub, Numverify, Reddit, DuckDuckGo), Hudson Rock infostealer intelligence, and automatic ", | |
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| "desc": "Public release of Telepathy, an OSINT toolkit for investigating Telegram chats.", | |
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| "desc": "Open source platform for cyber security analysts with many features for threat intelligence and detection engineering.", | |
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| "desc": "A multi-purpose OSINT toolkit with a neat web-interface.", | |
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| "desc": "A modular, terminal-based toolkit for OSINT, reconnaissance, and scraping - built in Python, runs on Linux and Windows.", | |
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| "desc": "VPN Overall Reconnaissance, Testing, Enumeration and eXploitation Toolkit", | |
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| "desc": "A user-friendly Python toolkit for open source intelligence, providing key features such as image geolocation, social media profiling, email breach ch", | |
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| "desc": "A curated toolkit for Open-Source Intelligence (OSINT) investigations. This repository contains a collection of scripts, resources, and methodologies ", | |
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| "tnt-wolve/ch3r0": { | |
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| "desc": "Hackingtool Menu \ud83e\uddf0 AnonSurf Information Gathering Password Attack Wireless Attack SQL Injection Tools Phishing Attack Web Attack Tool Post exploitatio", | |
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| "pushed": "2020-07-25" | |
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| "desc": "Agentic OSINT toolkit. Autonomous identity triangulation, 6-dimension cognitive profiling, breach analysis. CLI-first. 30+ platforms. 5 languages.", | |
| "url": "https://github.com/Doble-2/osint-d2.git", | |
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| "desc": "A web based OSINT ressource and tool", | |
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| "desc": "Async-powered OSINT and recon toolkit built for speed and precision", | |
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| "desc": "L0p4 Toolkit is a powerful hacking toolset designed for hacker's. It includes advanced tools for web hacking (SQLi, XSS), network scanning, remote acc", | |
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| "buddhsen-tripathi/OSINT-Kit": { | |
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| "desc": "Osint-kit is a curated collection of tools for OSINT investigations, from auditing and screen recording to aggregation. Build your ultimate OSINT tool", | |
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| "retr0-g04t/EagleOsint": { | |
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| "desc": "EagleOsint - Simple Information Gathering Tool", | |
| "url": "https://github.com/retr0-g04t/EagleOsint.git", | |
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| "desc": "Curated manuals, playbooks, and checklists for OSINT, OPSEC, cyber security, and digital investigations", | |
| "url": "https://github.com/oryon-osint/cyber-intelligence-toolkit.git", | |
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| "ecstatic-nobel/Analyst-Arsenal": { | |
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| "desc": "A toolkit for Security Researchers", | |
| "url": "https://github.com/ecstatic-nobel/Analyst-Arsenal.git", | |
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| "desc": "WEBFANG, is my first CLI, a modular OSINT & Reconnaissance toolkit curated for Ethical Hackers and Red-Teamers. Sink fangs into web targets using a pa", | |
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| "be0vlk/owlculus": { | |
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| "desc": "An OSINT toolkit and case management platform.", | |
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| "desc": "Automated Network Reconnaissance and OSINT framework. Streamlines IP tracking, geolocation, and digital footprint analysis in a modular Python environ", | |
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| "fawadqureshi007/Black": { | |
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| "desc": "BlackTrace is a Python OSINT toolkit for reconnaissance, offering image geolocation, email breach checks, domain/IP lookup, metadata analysis, and rev", | |
| "url": "https://github.com/fawadqureshi007/Black.git", | |
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| "hackerxphantom/X-IG-OSINT": { | |
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| "desc": "X-IG OSINT is an advanced Instagram OSINT toolkit that provides deep profile analysis, username scanning, account age checking, bot detection, shadowb", | |
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| "desc": "A fast and powerful http toolkit that take a list of domains to find active domains and other information such as status-code, title, response-time , ", | |
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| "desc": "A professional, high-fidelity de-anonymization and vulnerability diagnostic framework. Features a zero-coupling modular architecture for browser-based", | |
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| "desc": "DIGI-NETRA \ud83d\udd75\ufe0f\u200d\u2642\ufe0f is a Python OSINT toolkit for digital investigations. Trace phone numbers \ud83d\udcde, usernames \ud83d\udc64, IPs \ud83c\udf10, and emails \u2709\ufe0f with a simple CLI. Ins", | |
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| "darvester/darvester": { | |
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| "desc": "Powerful Discord OSINT toolkit written in Python and Dart/Flutter", | |
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| "desc": "Solid Python toolkit for those in the security industry. Some by me, most by smarter people.", | |
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| "desc": "This repository serves as a comprehensive catalog for tools and websites useful in Open Source Intelligence (OSINT) investigations.", | |
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| "desc": "WITCHCRAFT is a cyberdeck toolkit built for runners who dive deep into the mesh. It\u2019s your all-in-one rig for data-ghosting, ICE-breaking, and corp-sy", | |
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| "desc": "Investigation toolkit for Claude Code: case management, OSINT, structured analytic techniques, chain-of-custody evidence capture, and bundled threat-i", | |
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| "BuuDevOff/buit": { | |
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| "desc": "Fast OSINT toolkit written in Rust for security researchers. 25+ modules for reconnaissance, subdomain enumeration, social media research & more.", | |
| "url": "https://github.com/BuuDevOff/buit.git", | |
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| "desc": "\ud83d\udd0d Bug Bounty Search Engine - Advanced reconnaissance toolkit with 64+ Google dork queries organized into 10 categories for security researchers. Featu", | |
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| "desc": "High-end Telegram OSINT Toolkit built with Telethon. Bulk keyword search, chat export, member enumeration, proxy/Tor support & SQLite. For cybersecuri", | |
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| "desc": "This script automates the installation of 50 OSINT tools for reconnaissance and information gathering.", | |
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| "desc": "Full-stack LinkedIn OSINT toolkit. Four-phase funnel: discover companies by region, batch scrape employees, classify roles by hierarchy/department, an", | |
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| "MehmetYukselSekeroglu/TheHive": { | |
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| "desc": "Advanced professional graphical osint toolset with The Hive Remastered", | |
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| "sec0ps/va-pt": { | |
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| "desc": "The VAPT Toolkit provides a streamlined way to install, configure, and maintain a complete penetration testing environment with 50+ security tools and", | |
| "url": "https://github.com/sec0ps/va-pt.git", | |
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| "26zl/cybersec-toolkit": { | |
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| "desc": "One command installs 670+ security tools on Linux & Termux. Its authorization-gated MCP server works with Claude Code, OpenCode, Codex, Gemini CLI, Ol", | |
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| "SOsintOps/Exploratores": { | |
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| "desc": "Modular browser-based OSINT toolkit \u2014 curated search tools, PII Redactor, multi-country IBAN analysis and embedded CyberChef. No backend required.", | |
| "url": "https://github.com/SOsintOps/Exploratores.git", | |
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| "NickQuelloVero/ARGUS": { | |
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| "desc": "ARGUS is a comprehensive terminal-based OSINT and security toolkit written in Python. It provides 80 tools organized into four categories: reconnaissa", | |
| "url": "https://github.com/NickQuelloVero/ARGUS.git", | |
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| "q": "osint toolkit", | |
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| "pushed": "2026-03-15" | |
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| "l0n3m4n/SearchToolkit": { | |
| "stars": 32, | |
| "desc": "SearchToolkit is advanced collection of tools, hardwares, resources and cheatsheets useful for Pentester, Red Teamer, Bug Hunter, Forensics, LAW enfor", | |
| "url": "https://github.com/l0n3m4n/SearchToolkit.git", | |
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| "pushed": "2026-04-12" | |
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| "X3r0Day/XeroDay-APISniffer": { | |
| "stars": 31, | |
| "desc": "API Sniffer is a modular toolkit for scanning publicly available GitHub repositories and identifying exposed API keys, tokens, and secrets.", | |
| "url": "https://github.com/X3r0Day/XeroDay-APISniffer.git", | |
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| "UnknownNinja99/Scavengers-Entity": { | |
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| "desc": "A powerful Python-based toolkit for vulnerability scanning, comprehensive OSINT, and phishing detection, serving as a cybersecurity companion for educ", | |
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| "CodingRanjith/cybersec": { | |
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| "desc": "CyberSecurity Resources and Tools", | |
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| "desc": "Pegasus Lacak Ultimate adalah toolkit OSINT (Open Source Intelligence) yang dirancang untuk investigasi digital dan pengumpulan informasi dari berbaga", | |
| "url": "https://github.com/sobri3195/pegasus-lacak-ultimate.git", | |
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| "pushed": "2026-03-10" | |
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| "umair9747/4oFour": { | |
| "stars": 29, | |
| "desc": "A tech enumeration toolkit focused on 404 Not found pages.", | |
| "url": "https://github.com/umair9747/4oFour.git", | |
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| "q": "osint toolkit", | |
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| "stars": 28, | |
| "desc": "Laitoxx Multi-Tool is an advanced OSINT and cybersecurity toolkit for educational purposes. It includes phone number lookup, IP tracking, email valida", | |
| "url": "https://github.com/laitoxx/Laitoxx-Multi-Tool.git", | |
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| "SagarBiswas-MultiHAT/Phoneint-OSINT-Toolkit": { | |
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| "desc": "Phoneint-OSINT-Toolkit \u2014 a privacy-first phone-number OSINT toolkit (CLI + minimal GUI). Parses and normalizes numbers (E.164), enriches with determin", | |
| "url": "https://github.com/SagarBiswas-MultiHAT/Phoneint-OSINT-Toolkit.git", | |
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| "q": "osint toolkit", | |
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| "pushed": "2026-02-11" | |
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| "SamueleAmato/Near": { | |
| "stars": 23, | |
| "desc": " All-in-one OSINT toolkit", | |
| "url": "https://github.com/SamueleAmato/Near.git", | |
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| "q": "osint toolkit", | |
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| "desc": "Auton-OSINT is a free, lightweight, and modular open-source intelligence (OSINT) framework built for Linux. It provides deep reconnaissance using publ", | |
| "url": "https://github.com/Into-The-Grey/Auton-OSINT.git", | |
| "size_kb": 102, | |
| "q": "open source intelligence framework", | |
| "lang": "Python", | |
| "pushed": "2026-08-04" | |
| }, | |
| "AyushMP/Rasa-ChatBot": { | |
| "stars": 4, | |
| "desc": "This project utilizes Rasa, an open-source conversational AI framework, to develop a chatbot capable of answering questions about AIML (Artificial Int", | |
| "url": "https://github.com/AyushMP/Rasa-ChatBot.git", | |
| "size_kb": 719057, | |
| "q": "open source intelligence framework", | |
| "lang": "JavaScript", | |
| "pushed": "2024-07-05" | |
| }, | |
| "prestonzen/Zenith": { | |
| "stars": 4, | |
| "desc": "Z\u00e9nith is a multi-lingual cybersecurity AI NLP security verification chatbot in development that references the MITRE ATT&CK Framework, OSCP solution ", | |
| "url": "https://github.com/prestonzen/Zenith.git", | |
| "size_kb": 1396369, | |
| "q": "open source intelligence framework", | |
| "lang": "HTML", | |
| "pushed": "2023-01-09" | |
| }, | |
| "DashboardBuilder/open-source-dashboard": { | |
| "stars": 3, | |
| "desc": "The Dashboard Builder is a free and open source framework for creating analytic web applications. It's mostly used to create internal business intelli", | |
| "url": "https://github.com/DashboardBuilder/open-source-dashboard.git", | |
| "size_kb": 69, | |
| "q": "open source intelligence framework", | |
| "lang": null, | |
| "pushed": "2022-08-26" | |
| }, | |
| "OnlyF0uR/ClioSec": { | |
| "stars": 3, | |
| "desc": "Open-Source Intelligence framework & high performant web-interface designed for documenting and organising OSINT case studies.", | |
| "url": "https://github.com/OnlyF0uR/ClioSec.git", | |
| "size_kb": 655, | |
| "q": "open source intelligence framework", | |
| "lang": "Svelte", | |
| "pushed": "2022-10-18" | |
| }, | |
| "yukipanpan/marketbrief": { | |
| "stars": 3, | |
| "desc": " Open-source AI market intelligence framework, fetch 40+ sources, analyze with Claude AI, deliver daily briefings via Telegram. Also an MCP Serve", | |
| "url": "https://github.com/yukipanpan/marketbrief.git", | |
| "size_kb": 64, | |
| "q": "open source intelligence framework", | |
| "lang": "Python", | |
| "pushed": "2026-04-06" | |
| }, | |
| "sherifconteh-collab/ControlWeave": { | |
| "stars": 3, | |
| "desc": "Open-source AI-powered GRC platform with multi-framework compliance management, crosswalk intelligence, and BYOK AI analysis. Supports NIST 800-53, IS", | |
| "url": "https://github.com/sherifconteh-collab/ControlWeave.git", | |
| "size_kb": 19835, | |
| "q": "open source intelligence framework", | |
| "lang": "JavaScript", | |
| "pushed": "2026-08-11" | |
| }, | |
| "afild/AFIS": { | |
| "stars": 3, | |
| "desc": "Open-source AI-powered financial intelligence framework for SMEs. Automates ETL ingestion, ML cash flow forecasting, and AI-driven financial analysis ", | |
| "url": "https://github.com/afild/AFIS.git", | |
| "size_kb": 2793, | |
| "q": "open source intelligence framework", | |
| "lang": "Python", | |
| "pushed": "2026-07-20" | |
| }, | |
| "elchacal801/flame-exchange": { | |
| "stars": 3, | |
| "desc": "Open-source fraud intelligence exchange: 86 threat paths, 141 fraud types, and 36 baselines mapped across 7 frameworks \u2014 with STIX 2.1, MISP, TAXII ex", | |
| "url": "https://github.com/elchacal801/flame-exchange.git", | |
| "size_kb": 43203, | |
| "q": "open source intelligence framework", | |
| "lang": "Python", | |
| "pushed": "2026-08-17" | |
| }, | |
| "VR480370/Domestic-Commerical-Waste-Classification": { | |
| "stars": 3, | |
| "desc": "The garbage classification is a social issue related to people\u2019s livelihood and sustainable development, so letting service robots autonomously perfo", | |
| "url": "https://github.com/VR480370/Domestic-Commerical-Waste-Classification.git", | |
| "size_kb": 1078, | |
| "q": "open source intelligence framework", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2022-06-22" | |
| }, | |
| "cjohnson74/Python-NewsFeed": { | |
| "stars": 3, | |
| "desc": "In this course, you\u2019ll use Python to refactor an existing application that was originally built using Node.js. The app, called Just Tech News, is a we", | |
| "url": "https://github.com/cjohnson74/Python-NewsFeed.git", | |
| "size_kb": 153, | |
| "q": "open source intelligence framework", | |
| "lang": "Python", | |
| "pushed": "2022-01-26" | |
| }, | |
| "Kanis-Fatema-Shanta/Covid-19-Outbreak-Prediction": { | |
| "stars": 3, | |
| "desc": "In this study, we leverage the fusion of edge computing, artificial intelligence (AI) methods, and facilities provided by B5G to build a heterogeneous", | |
| "url": "https://github.com/Kanis-Fatema-Shanta/Covid-19-Outbreak-Prediction.git", | |
| "size_kb": 8763, | |
| "q": "open source intelligence framework", | |
| "lang": "Jupyter Notebook", | |
| "pushed": "2022-06-21" | |
| } | |
| } |