distributed-training

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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）

Fast and flexible AutoML with learning guarantees.

A high performance and generic framework for distributed DNN training

Determined: Deep Learning Training Platform

FedML - The federated learning and distributed training library enabling machine learning anywhere at any scale. It's backed by FedML, Inc (https://FedML.ai). Supporting large-scale geo-distributed training, cross-device federated learning on smartphones/IoTs, cross-silo federated learning on data silos, and research simulation. Best Paper Award at NeurIPS

Library for Fast and Flexible Human Pose Estimation

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Auto parallelization for large-scale neural networks

DeepRec is a recommendation engine based on TensorFlow.

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系

Resource-adaptive cluster scheduler for deep learning training.

Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

How to use Cross Replica / Synchronized Batchnorm in Pytorch

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

A full pipeline AutoML tool for tabular data

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)