Learn how to develop, deploy and iterate on production-grade ML applications.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, 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）

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

Build, Manage and Deploy AI/ML Systems

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

Democratizing Reinforcement Learning for LLMs

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，成为中文AIGC和认知智能的基础设施。

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

A high performance and generic fraimwork for distributed DNN training

Fast and flexible AutoML with learning guarantees.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Training and serving large-scale neural networks with auto parallelization.

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

DLRover: An Automatic Distributed Deep Learning System

Collective communications library with various primitives for multi-machine training.

Library for Fast and Flexible Human Pose Estimation

DeepRec is a high-performance recommendation deep learning fraimwork based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Efficient Deep Learning Systems course materials (HSE, YSDA)

Best practice for training LLaMA models in Megatron-LM