Popular GitHub Repositories for Mxnet Gluon

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

State-of-the-art 2D and 3D Face Analysis Project

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Open standard for machine learning interoperability

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Fast and Accurate ML in 3 Lines of Code

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Setup and customize deep learning environment in seconds.

Gluon CV Toolkit

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Probabilistic time series modeling in Python

An Engine-Agnostic Deep Learning Framework in Java

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，标注平台，自动化标注，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式，deepseek训练推理

TensorFlow Basic Tutorial Labs

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.