mxnet

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

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

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

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

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

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

Setup and customize deep learning environment in seconds.

Gluon CV Toolkit

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

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.

A high performance and generic framework for distributed DNN training

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

Sandbox for training deep learning networks

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

NLP made easy

Machine Learning University: Accelerated Natural Language Processing Class

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