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cuda
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NVIDIA/TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
catboost/catboost
一个快速、可扩展、高性能的基于决策树的梯度提升库,用于Python、R、Java、C++的排序、分类、回归及其他机器学习任务,支持CPU和GPU计算。
thu-ml/SageAttention
量化注意力机制相比FlashAttention和xformers实现了2-5倍和3-11倍的速度提升,且在语言、图像和视频模型上保持端到端指标无损。