Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Visualizer for neural network, deep learning and machine learning models

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

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

Open standard for machine learning interoperability

Face Analysis Project on MXNet

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

Set up deep learning environment in a single command line.

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.

Gluon CV Toolkit

TensorFlow Basic Tutorial Labs

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

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

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

A Simple and Versatile Framework for Object Detection and Instance Recognition

Machine Learning Platform for Kubernetes

AutoGluon: AutoML Toolkit for Deep Learning

A high performance and generic framework for distributed DNN training

NLP made easy

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

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

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

AI on Hadoop

Sandbox for training convolutional networks for computer vision

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

nGraph - open source C++ library, compiler and runtime for Deep Learning

《深度学习与计算机视觉》配套代码

A library for training and deploying machine learning models on Amazon SageMaker

An Engine-Agnostic Deep Learning Framework in Java

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet