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---
title: README
emoji: ⚡
colorFrom: red
colorTo: blue
sdk: static
pinned: false
---

# Research Software & Open Resources

This page highlights research software, datasets, tools, and educational resources developed by researchers, students, and collaborators associated with our institution.

The projects remain hosted and maintained in their original repositories. Please refer to each repository for documentation, licensing, citation information, and contribution guidelines.

---

## Urban Computing, Mobility & Location-Based Data

* **[CityBehavEx](https://github.com/gefgu/citybehavex)** — LLM-assisted platform for city-scale urban behavior and mobility simulation.
  Maintained by [@gefgu](https://github.com/gefgu)

* **[REAL-UP](https://github.com/francessantos/real-up)** — Urban perception analysis from location-based social networks for real-estate applications.
  Maintained by [@francessantos](https://github.com/francessantos)

* **[Google Places Enricher](https://github.com/FerGubert/google_places_enricher)** — Tool for collecting and enriching Google Places data across geographic areas.
  Maintained by [@FerGubert](https://github.com/FerGubert)

* **[Google Places Enricher 2.0](https://github.com/diegookawa/google_places_enricher_2.0)** — Web-based version of Google Places Enricher with a user interface.
  Maintained by [@diegookawa](https://github.com/diegookawa)

* **[SLKit](https://github.com/FdeFabricio/slkit)** — R package for extracting and analyzing properties from multiple urban sensing layers.
  Maintained by [@FdeFabricio](https://github.com/FdeFabricio)

### Public Transportation Data

* **[Bus Analysis](https://github.com/jcnborges/busanalysis)** — Data-analysis resources for public transportation research.
  Maintained by [@jcnborges](https://github.com/jcnborges)

* **[URBS Data Processing](https://github.com/jcnborges/urbs-data-processing)** — Data ingestion and processing tools for URBS public transportation datasets.
  Maintained by [@jcnborges](https://github.com/jcnborges)

* **[URBS Data MySQL](https://github.com/jcnborges/urbs-data-mysql)** — Data warehouse infrastructure for public transportation data.
  Maintained by [@jcnborges](https://github.com/jcnborges)

---

## Natural Language Processing, Multimodal AI & LLMs

* **[Persona Validity in MLLM Agents](https://github.com/MInDS-lab-UTFPR/MLLMs-persona-evaluation)** — Project page and research resources for evaluating persona validity in multimodal LLM agents for urban sentiment perception.
  Hosted by [MInDS Lab @ UTFPR](https://github.com/MInDS-lab-UTFPR)

* **[Multimodal LLMs See Sentiment](https://github.com/MInDS-lab-UTFPR/multimodal-LLMs-see-sentiment-project-page)** — Project page and research resources exploring the ability of multimodal large language models to recognize and reason about visual sentiment.
  Hosted by [MInDS Lab @ UTFPR](https://github.com/MInDS-lab-UTFPR)

* **[MLLM Persona Agent Studio](https://github.com/neemiasbsilva/MLLM-persona-agent-studio)** — Desktop environment for persona-based evaluation and annotation using multimodal and text LLMs.
  Maintained by [@neemiasbsilva](https://github.com/neemiasbsilva)

* **[Twitter Image Dataset](https://github.com/johnwsh/twitterDataset)** — Resources for an image dataset collected from Twitter, including scripts for generating image captions and descriptions using the OpenAI API.
  Maintained by [@johnwsh](https://github.com/johnwsh)

* **[Midjourney Selenium Automation](https://github.com/johnwsh/automacaoSelenium)** — Selenium-based automation tool for submitting image-generation requests to Midjourney through the Discord web interface.
  Maintained by [@johnwsh](https://github.com/johnwsh)

* **[MLLMs: Teoria e Prática](https://github.com/neemiasbsilva/MLLMs-Teoria-e-Pratica)** — Educational material and practical notebooks covering Multimodal Large Language Models.
  Maintained by [@neemiasbsilva](https://github.com/neemiasbsilva)

* **[Natural Language Processing for Social Media](https://webmedia2022-nlp.github.io/)** — Educational material on foundations, tools, and applications of NLP for social-media text.

* **[SBBD Datasets](https://github.com/azolinmf/SBBD-datasets)** — Datasets supporting research on cultural differences in application reviews using NLP.
  Maintained by [@azolinmf](https://github.com/azolinmf)

* **[Textual User Profiling Survey](https://github.com/felip-peixoto/Textual-User-Profiling-Survey)** — Datasets, code, and resources associated with research on identifying user profiles from textual data.
  Maintained by [@felip-peixoto](https://github.com/felip-peixoto)

---

## Social Computing, Networks & Online Polarization

* **[Intergroup Bridging](https://github.com/jordankobellarz/intergroup-bridging)** — Network centrality measure for identifying nodes that bridge different groups in a network.
  Maintained by [@jordankobellarz](https://github.com/jordankobellarz)

* **[Bubble Reachers and Incivility](https://github.com/jordankobellarz/bubble-reachers-incivility)** — Code supporting research on cross-group communication and uncivil discourse in polarized online environments.
  Maintained by [@jordankobellarz](https://github.com/jordankobellarz)

* **[Online Political Polarization](https://sites.google.com/view/onlinepolarization)** — Research project investigating political polarization, social networks, and online behavior.

* **[WhatsApp Simulator](https://github.com/ribaslucian/rails-5_whatsapp-simulator)** — Software prototype for simulating a WhatsApp-like communication environment.
  Maintained by [@ribaslucian](https://github.com/ribaslucian)

---

## Computer Vision, Remote Sensing & Advanced Manufacturing

* **[ActiveFire](https://github.com/pereira-gha/activefire)** — Active fire detection and segmentation using satellite imagery and deep learning.
  Maintained by [@pereira-gha](https://github.com/pereira-gha)

* **[Slicing](https://github.com/rminetto/slicing)** — Algorithms and implementations for 3D triangular mesh slicing.
  Maintained by [@rminetto](https://github.com/rminetto)

* **[LoHi-Weld](https://github.com/SylvioBlock/LoHi-Weld)** — Computer vision and deep-learning methods applied to welding inspection.
  Maintained by [@SylvioBlock](https://github.com/SylvioBlock)

* **[PerceptSent](https://github.com/ceslop84/perceptsent)** — Dataset and methods for visual sentiment analysis and the study of subjective image perception.
  Maintained by [@ceslop84](https://github.com/ceslop84)

* **[Landsat-8 to Sentinel-2 Transfer Learning: Seamlines](https://github.com/Minoro/l8tos2-transf-seamlines)** — Transfer-learning experiments investigating seamline effects across satellite imagery.
  Maintained by [@Minoro](https://github.com/Minoro)

* **[Transfer Learning: Landsat-8 to Sentinel-2](https://github.com/Minoro/transfer-learning-landsat8-sentinel2)** — Transfer learning for active-fire segmentation between Landsat-8 and Sentinel-2 imagery.
  Maintained by [@Minoro](https://github.com/Minoro)

* **[DED-IM](https://github.com/machipanski/DED-IM)** — Image-based mapping and tool-path planning for Wire Arc Directed Energy Deposition.
  Maintained by [@machipanski](https://github.com/machipanski)

* **[Ridge Count](https://github.com/Bonacim/ridge-count)** — Machine-learning methods for fingerprint ridge counting.
  Maintained by [@Bonacim](https://github.com/Bonacim)

* **[Imprints](https://github.com/SylvioBlock/Imprints)** — Detection and classification of imprint defects in stamped metal surfaces.
  Maintained by [@SylvioBlock](https://github.com/SylvioBlock)

---

## About These Projects

These resources represent research and development conducted by members and collaborators of our institution across areas including:

* Artificial Intelligence and Machine Learning
* Computer Vision
* Remote Sensing
* Urban Computing and Human Mobility
* Natural Language Processing
* Multimodal and Large Language Models
* Generative AI
* Social Network Analysis
* Online Social Behavior
* Advanced Manufacturing
* Data Science and Data Engineering

Repository ownership, licensing, maintenance status, and citation requirements may differ across projects. Please consult each project's repository for the corresponding information.