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🤗 I built xlite-dev, Cache-DiT, ffpa-attn, LeetCUDA, lite.ai.toolkit, lihang-notes, torchlm, Awesome-LLM-Inference, Awesome-DiT-Inference, ..., 🤗 I contributed to FastDeploy, SGLang , SGLang-Diffusion , vLLM , Diffusers , ... 🚪👇 I also built some open-source books at 📖 LeetCUDA, 📖 lihang-notes, ... |
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xlite-dev/LeetCUDA
xlite-dev/LeetCUDA PublicOpen-source book with Modern CUDA Learn Notes for Beginners, includes FP16/BF16, FP8, HGEMM, FlashAttention, CuTe, etc.
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xlite-dev/lite.ai.toolkit
xlite-dev/lite.ai.toolkit PublicA lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion.
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PaddlePaddle/FastDeploy
PaddlePaddle/FastDeploy PublicHigh-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
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sgl-project/sglang
sgl-project/sglang PublicSGLang is a high-performance serving framework for large language models and multimodal models.
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vipshop/cache-dit
vipshop/cache-dit PublicA PyTorch-native inference engine with cache, parallelism, quantization and cpu offload for DiTs.
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xlite-dev/ffpa-attn
xlite-dev/ffpa-attn PublicKernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.
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