Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
I don’t know if you’re familiar with Ray but it is great for tuning hyperparameters and training algorithms. It’s built on top of their distributed computing platform so with the right setup, you could run multiple training iterations simultaneously. Check it out: https://github.com/ray-project/ray
Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent
1 project | reddit.com/r/Python | 13 Jul 2022
ray-project/ray: An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
1 project | reddit.com/r/devopsish | 28 Jun 2022
Help needed to understand Rllib attention model parameters
1 project | reddit.com/r/reinforcementlearning | 7 May 2022
Blazer - HPC python library for MPI workflows
2 projects | reddit.com/r/HPC | 10 Feb 2022
Is it normal to have a negative and near-zero explained variance in PPO?
1 project | reddit.com/r/reinforcementlearning | 25 Dec 2021