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

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

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.

Probabilistic time series modeling in Python

A high performance and generic framework for distributed DNN training

A Simple and Versatile Framework for Object Detection and Instance Recognition

Sandbox for training deep learning networks

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

NLP made easy

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

TensorLy: Tensor Learning in Python.

《深度学习与计算机视觉》配套代码

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.

Understanding Convolution for Semantic Segmentation

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

🔡 Token level embeddings from BERT model on mxnet and gluonnlp