Implementation

Implementing ML Best Practices

Taken from the NN Template from grok-ai, which includes:

• PyTorch Lightning, lightweight PyTorch wrapper for high-performance AI research.
• Hydra, a framework for elegantly configuring complex applications.
• Weights and Biases, organize and analyze machine learning experiments. (educational account available)
• Streamlit, turns data scripts into shareable web apps in minutes.
• MkDocs and Material for MkDocs, a fast, simple and downright gorgeous static site generator.
• DVC, track large files, directories, or ML models. Think “Git for data”.
• GitHub Actions, to run the tests, publish the documentation and to PyPI automatically.
• Python Best Practices