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🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Python sample codes for robotics algorithms.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Simple and easily configurable grid world environments for reinforcement learning
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"