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L🧑🏫 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, ... 🧠
Pythonattentiondeep-learning
SSGLang is a high-performance serving framework for large language models and multimodal models.
v0.5.22Pythonattentionblackwell
FFlashInfer: Kernel Library for LLM Serving
v0.7.2.post1Cudaattentioncuda
