Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Ongoing research training transformer models at scale

FastNN提供在阿里巴巴集团的机器学习平台PAI(Platform of Artificial Intelligence)上快速进行分布式深度学习的示例

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

An Industrial Graph Neural Network Framework

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

PyTorch extensions for high performance and large scale training.

An Open Source Machine Learning Framework for Everyone

Google Research

Large Model Support in Tensorflow

Build a Jekyll blog in minutes, without touching the command line.

Open source platform for the machine learning lifecycle

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open Source Neural Machine Translation in PyTorch

A curated list of image captioning and related area resources. :-)

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

train on AWS

A Python implementation of global optimization with gaussian processes.

Image blur detection using opencv-python

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Deep learning powered big data analytics using BigDL on Apache Spark

BigDL: Distributed Deep learning Library for Apache Spark

Core HW bindings and optimizations for BigDL