| ray-project/ray |
29,596 |
|
80 |
363 |
about 2 years ago |
95 |
December 04, 2023 |
3,528 |
apache-2.0 |
Python |
| Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. |
| polyaxon/polyaxon |
3,438 |
|
4 |
12 |
about 2 years ago |
418 |
December 09, 2023 |
122 |
apache-2.0 |
|
| MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle |
| sjtu-marl/malib |
440 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
mit |
Python |
| A parallel framework for population-based multi-agent reinforcement learning. |
| toshas/torch-discounted-cumsum |
44 |
|
0 |
0 |
over 4 years ago |
4 |
August 28, 2021 |
1 |
other |
Python |
| Fast Discounted Cumulative Sums in PyTorch |
| qbx2/PAAC.pytorch |
21 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
|
Python |
| Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862 |
| mahyaret/kuka_rl |
20 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| Reinforcement Learning Experiments using PyBullet |
| MaxStrange/retrowrapper |
14 |
|
1 |
0 |
over 7 years ago |
4 |
December 22, 2018 |
1 |
mit |
Python |
| Wrapper for OpenAI Retro envs for parallel execution |
| pianomania/paac-pytorch |
5 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
Python |
| PyTorch implementation of PAAC from "Efficient Parallel Methods for Deep Reinforcement Learning" |
| wyjung0625/p3s |
5 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
other |
Python |
| Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning |
