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thu-ml / SageAttention

Quantized Attention that achieves speedups of 2.1-3.1x and 2.7-5.1x compared to FlashAttention2 and xformers, respectively, without lossing end-to-end metrics across various models.

Cuda 1,203 81 Built by @jt-zhang @jason-huang03 @DefTruth @Panchovix 2 stars today
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rapidsai / raft

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Cuda 860 204 Built by @cjnolet @GPUtester @aschaffer @divyegala @achirkin 0 stars today