Gold I
1,609 Elo
- #3,426 on the ladder
- −12 today · −14 this week
- Peak 1,639
CUDA Templates and Python DSLs for High-Performance Linear Algebra
NVIDIA/cutlass is #3,426 on the bestofgithub Elo ladder, in Gold I, with a rating of 1,609 (−14 this week). It has 10,732 stars, 22 gained in the last week.
1,609 Elo
10,732
git clone https://github.com/NVIDIA/cutlass.gitThe Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
git clone https://github.com/ritchieng/the-incredible-pytorch.gitNVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
git clone https://github.com/NVIDIA/TensorRT.gitA Python framework for GPU-accelerated simulation, robotics, and machine learning.
git clone https://github.com/NVIDIA/warp.gitDeep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
git clone https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap.gitFlashInfer: Kernel Library for LLM Serving
git clone https://github.com/flashinfer-ai/flashinfer.gitAccelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
git clone https://github.com/intel/ipex-llm.gitLoading README…