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VIP cheatsheets for Stanford's CS 229 Machine Learning
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A Python library that helps data scientists to infer causation rather than observing correlation.
NeuralProphet: A simple forecasting package
Useful utility functions/objects for RobotPy
RobotPy wrappers for CTRE Phoenix 5 library
🎮 Extensible, JavaScript-based driving dashboard framework for the FIRST Robotics Competition.