PaddlePaddle / PARL

A high-performance distributed training framework for Reinforcement Learning

flexflow / flexflow-train

Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training

futureverse / future

:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone

google / paxml

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.