sbdt

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

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）

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 framework 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.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond