Topics / #mxnet

Mxnet projects on GitHub

The Apache MXNet deep learning framework.

As of , the most-starred Mxnet projects on GitHub are insightface (30K stars), d2l-en (29.9K stars) and ncnn (24K stars). GitHub.Locker tracks 8 Mxnet repositories with 166.3K stars combined. The fastest-growing on October 16 was d2l-en, with +10 stars in a day.

8Projects
166.3KStars in total
+27Stars in a day
Browse in the catalog →github.com/topics/mxnet ↗

Hot right now

Most stars gained in a day · Oct 16

+10

d2l-en

d2l-ai/d2l-en · ★ 29.9K

An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

+8

insightface

deepinsight/insightface · ★ 30K

An open-source 2D and 3D deep face analysis toolbox that efficiently implements state-of-the-art face recognition, detection and alignment, optimized for both training and deployment.

+4

ncnn

Tencent/ncnn · ★ 24K

ncnn is a high-performance neural network inference framework built by Tencent and optimized for mobile, embedded, and desktop deployment. It is used in Tencent apps like QQ, Qzone, and WeChat to run deep learning models on-device.

+2

DeepLearningExamples

NVIDIA/DeepLearningExamples · ★ 14.9K

A collection of NVIDIA-maintained, state-of-the-art deep learning reference implementations across computer vision, NLP, recommenders, speech, and more, tuned for reproducible accuracy and performance on NVIDIA Tensor Core GPUs.

The all-time top

8 projects · by stars

  1. #1 · deepinsight/insightface

    insightface

    An open-source 2D and 3D deep face analysis toolbox that efficiently implements state-of-the-art face recognition, detection and alignment, optimized for both training and deployment.

    30K
  2. #2 · d2l-ai/d2l-en

    d2l-en

    An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

    29.9K
  3. #3 · Tencent/ncnn

    ncnn

    ncnn is a high-performance neural network inference framework built by Tencent and optimized for mobile, embedded, and desktop deployment. It is used in Tencent apps like QQ, Qzone, and WeChat to run deep learning models on-device.

    24K
  1. 4

    mxnet

    20.8Kapache/mxnet · C++

    Apache MXNet is a deep learning framework designed for both efficiency and flexibility: it lets you mix symbolic and imperative programming, and a dynamic dependency scheduler automatically parallelizes operations on the fly.

  2. 5

    DeepLearning

    17.8KMikoto10032/DeepLearning · Jupyter Notebook

    A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

  3. 6

    DeepLearningExamples

    14.9KNVIDIA/DeepLearningExamples · Jupyter Notebook

    A collection of NVIDIA-maintained, state-of-the-art deep learning reference implementations across computer vision, NLP, recommenders, speech, and more, tuned for reproducible accuracy and performance on NVIDIA Tensor Core GPUs.

  4. 7

    horovod

    14.7Khorovod/horovod · Python

    Horovod is a distributed deep learning training framework that adds distributed training support to TensorFlow, Keras, PyTorch, and Apache MXNet, aiming to make scaling training across many GPUs and machines fast and easy.

  5. 8

    dgl

    14.3Kdmlc/dgl · Python

    DGL is an open-source Python package for deep learning on graphs: it makes it easy to build and train graph neural networks on top of deep learning frameworks you may already use.

Often tagged together