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1. lite.ai.toolkit lite.ai.toolkit Public

   🛠 A lite C++ toolkit of 100+ awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.

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2. vllm-project/vllm vllm-project/vllm Public

   A high-throughput and memory-efficient inference and serving engine for LLMs

   Python 30.7k 4.7k

3. Awesome-LLM-Inference Awesome-LLM-Inference Public

   📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

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4. PaddlePaddle/FastDeploy PaddlePaddle/FastDeploy Public

   ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…

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5. CUDA-Learn-Notes CUDA-Learn-Notes Public

   📚Modern CUDA Learn Notes with PyTorch: Tensor/CUDA Cores, 📖150+ CUDA Kernels, 📖HGEMM (achieve the performance of cuBLAS 🎉🎉), 📖100+ LLM/CUDA blogs.

   Cuda 1.5k 162

6. statistic-learning-R-note statistic-learning-R-note Public

   📒《统计学习方法-李航》200页PDF手推公式细节讲解，包含详细的目录以及R语言代码实现，可结合《统计学习方法》提高学习效率，适合机器学习、深度学习初学者。

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