🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Machine Learning Engineering Open Book
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Superduper: End-to-end framework for building custom AI applications and agents.
Seamlessly integrate LLMs into scikit-learn.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.