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Machine learning

Phil Wang always recreates many cutting edge ML papers with PyTorch. This course & Math for ML seem great. Hugging Face is incredible community & tools. Transformer architectures & Diffusion Models are great. MLU-Explain is a great ML visual explainer.

Looking into using envd together with PyTorch Lightning for my ML experiments.

Lilian's Blog, ML Papers Explained & Understanding Deep Learning are great reads.

Practical Deep Learning for Coders is nice intro course. Andrej Karpathy does great open research on ML.

The Illustrated Transformer & Transformer Recipes are great reads.

XLA is interesting ML compiler.