distributed-training
15 projects share this GitHub topic
Lines connect members that are measurably related to each other. Dot size reflects stars.
🧬 Members
Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
★ 48.9k
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice…
★ 24k
PaddleNLP
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
★ 13k
skypilot
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer,…
★ 10.4k
metaflow
Build, Manage and Deploy AI/ML Systems
★ 10.2k
rllm
Democratizing Reinforcement Learning for LLMs
★ 5.7k
Fengshenbang-LM
★ 4.1k
FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and…
★ 4.1k
determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter…
★ 3.2k
hivemind
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
★ 2.5k
HyperPose
Library for Fast and Flexible Human Pose Estimation
★ 1.3k
Relax
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
★ 550
awsome-distributed-ai
Collection of best practices, reference architectures, model training examples and utilities to train large…
★ 468
HandyRL
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning…
★ 308
nanodl
JAX library for training sub-4B foundation models for edge
★ 306
🔗 Related families
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.