Popular GitHub Repositories for Matrix Parallel Transport

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

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

A hyperparameter optimization framework

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

A Python scikit for building and analyzing recommender systems

Cross-platform chatbot framework made with love

A Python implementation of LightFM, a hybrid recommendation algorithm.

Massively Parallel Deep Reinforcement Learning. ?

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Fast inference engine for Transformer models

Deep recommender models using PyTorch.

Massively parallel rigidbody physics simulation on accelerator hardware.

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

POT : Python Optimal Transport

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Recommender Learning with Tensorflow2.x

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.