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MegEngine is a fast, scalable, and user friendly deep learning framework with 3 key features:

  • Unified framework for both training and inference.
  • The lowest hardware requirements.
  • Inference efficiently on all platforms.

Team goals:

  • Shorten the distance between scientific research and landing delivery.
  • For the next ResNet-level innovation, continue to explore with all algorithm researchers.
  • Improve performance and streamline processes to help business succeed.

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  1. MegEngine Public

    MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

    C++ 4.8k 545

  2. Documentation Public

    MegEngine Official Documentation

    Python 39 59

  3. Models Public

    采用MegEngine实现的各种主流深度学习模型

    Python 304 101

  4. mgeconvert Public

    MegEngine到其他框架的转换器

    Python 69 16

  5. cutlass Public

    Forked from NVIDIA/cutlass

    CUDA Templates for Linear Algebra Subroutines

    C++ 97 26

  6. Hub Public

    基于旷视研究院领先的深度学习算法,提供满足多业务场景的预训练模型

    Python 91 25

Repositories

Showing 10 of 55 repositories
  • MegSpot Public

    MegSpot是一款高效、专业、跨平台的图片&视频对比应用

    Vue 491 47 13 0 Updated Jan 2, 2025
  • Documentation Public

    MegEngine Official Documentation

    Python 39 CC-BY-SA-4.0 59 10 2 Updated Dec 4, 2024
  • MegEngine Public

    MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

    C++ 4,786 Apache-2.0 545 169 1 Updated Oct 24, 2024
  • MegCC Public

    MegCC是一个运行时超轻量,高效,移植简单的深度学习模型编译器

    C++ 482 Apache-2.0 59 9 0 Updated Oct 23, 2024
  • MegRay Public

    A communication library for deep learning

    C++ 50 9 0 0 Updated Aug 8, 2024
  • Hub Public

    基于旷视研究院领先的深度学习算法,提供满足多业务场景的预训练模型

    Python 91 25 0 2 Updated May 21, 2024
  • cutlass Public Forked from NVIDIA/cutlass

    CUDA Templates for Linear Algebra Subroutines

    C++ 97 BSD-3-Clause 1,182 0 1 Updated Apr 25, 2024
  • InferLLM Public

    a lightweight LLM model inference framework

    C++ 721 Apache-2.0 91 41 1 Updated Apr 7, 2024
  • C++ 0 MIT 0 0 0 Updated Dec 11, 2023
  • examples Public

    A set of examples around MegEngine

    Python 31 Apache-2.0 5 4 0 Updated Dec 8, 2023

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