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jawwaadsabree
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CurryModel
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CurryModel
642 kB
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1 contributor
History:
39 commits
jawwaadsabree
Update model loading in utils/model.py to specify revision "v0.0.3" for the Hugging Face model download, ensuring compatibility with the latest model version.
ca5ee40
over 1 year ago
.github
working on CI/CD
over 1 year ago
data_scraper
Refactor curry_model.ipynb to update execution counts, enhance model training processes, and improve data handling. Remove the train.py file as its functionality is integrated into the notebook. Update utils/model.py to adjust input dimensions and improve normalization logic. Modify curry_scraper.ipynb to streamline data processing and update execution counts for consistency.
over 1 year ago
utils
Update model loading in utils/model.py to specify revision "v0.0.3" for the Hugging Face model download, ensuring compatibility with the latest model version.
over 1 year ago
.gitattributes
Safe
1.52 kB
Add .gitattributes for LFS tracking and update README with project details
over 1 year ago
.gitignore
Safe
713 Bytes
working on CI/CD
over 1 year ago
Dockerfile
Safe
646 Bytes
Enhance Dockerfile by adding system dependencies for building the PyTorch project; update requirements.txt to include torchinfo, datasets, plotly, and wandb for improved functionality and visualization support.
over 1 year ago
Pipfile
Safe
168 Bytes
Refactor prediction endpoint to load dataset from Hugging Face and update request schema in api.py; add ipykernel to development dependencies in Pipfile; modify curry_scraper.ipynb to include Hugging Face upload functionality.
over 1 year ago
Pipfile.lock
Safe
23.9 kB
Refactor prediction endpoint to load dataset from Hugging Face and update request schema in api.py; add ipykernel to development dependencies in Pipfile; modify curry_scraper.ipynb to include Hugging Face upload functionality.
over 1 year ago
README.md
Safe
173 Bytes
Add YAML front matter to README for enhanced metadata
over 1 year ago
api.py
Safe
1.52 kB
Refactor API structure by consolidating model, prediction, and scraping functionalities into utility modules; update requirements.txt to streamline dependencies; enhance prediction endpoint to utilize new utility functions for improved maintainability and clarity.
over 1 year ago
curry_model.ipynb
Safe
13.1 kB
Update curry_model.ipynb to reset execution counts, enhance model loading and prediction logic, and adjust input tensor shape for compatibility. Modify utils/testing.py to correct feature dimensions in reshaping and improve prediction output handling.
over 1 year ago
curry_prophet.ipynb
Safe
524 kB
Refactor curry_model.ipynb to remove execution outputs and errors, update execution counts, and add new model training and saving functionality. Introduce a new curry_prophet.ipynb file for linear regression analysis, including data preparation, model training, evaluation, and visualization of results.
over 1 year ago
docker-compose.yml
Safe
171 Bytes
Add Docker support and enhance LSTM model with bidirectional layers and dropout
over 1 year ago
requirements.txt
Safe
3.48 kB
Update requirements.txt to streamline and enhance dependencies, including updates to FastAPI, Pydantic, and various machine learning libraries; add new development tools and utilities for improved functionality and compatibility.
over 1 year ago