brainstate

flashinfer-ai/flashinfer

FlashInfer: Kernel Library for LLM Serving

Cuda★ 6.9kApache-2.0GitHub ↗

History and source changes · Reports and owner responses · Compare

Similar

  1. 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.

    Python★ 15.0kGitHub ↗

    Why this match

    topics cuda, moe, pytorch; language differs: Cuda → Python

  2. NVIDIA/cutlass

    CUDA Templates and Python DSLs for High-Performance Linear Algebra

    C++★ 10.7kGitHub ↗

    Why this match

    topics cuda, gpu, nvidia; language differs: Cuda → C++

  3. NVIDIA/warp

    A Python framework for GPU-accelerated simulation, robotics, and machine learning.

    Python★ 7.3kApache-2.0GitHub ↗

    Why this match

    topics cuda, gpu, nvidia; language differs: Cuda → Python

  4. uccl-project/uccl

    UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)

    C++★ 1.6kApache-2.0GitHub ↗

    Why this match

    topics cuda, gpu, moe; language differs: Cuda → C++

  5. NVIDIA/nvidia-docker

    Build and run Docker containers leveraging NVIDIA GPUs

    ★ 17.6kApache-2.0archivedGitHub ↗

    Why this match

    topics cuda, gpu

  6. intel/ipex-llm

    Accelerate 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.

    Python★ 8.8kApache-2.0archivedGitHub ↗

    Why this match

    topics gpu, pytorch; language differs: Cuda → Python

  7. kuangliu/pytorch-cifar

    95.47% on CIFAR10 with PyTorch

    Python★ 6.4kMITGitHub ↗

    Why this match

    topics pytorch; language differs: Cuda → Python; license differs: Apache-2.0 → MIT

  8. jadore801120/attention-is-all-you-need-pytorch

    A PyTorch implementation of the Transformer model in "Attention is All You Need".

    Python★ 9.8kMITGitHub ↗

    Why this match

    topics attention, pytorch; language differs: Cuda → Python; license differs: Apache-2.0 → MIT