# jingweiz/pytorch-distributed

<https://repo.masters-masters.com/en/repos/jingweiz/pytorch-distributed>

[Home](https://repo.masters-masters.com/en) › [jingweiz](https://repo.masters-masters.com/en/owners/jingweiz) › [pytorch-distributed](https://repo.masters-masters.com/en/repos/jingweiz/pytorch-distributed)

jingweiz/pytorch-distributed has 102 stars on GitHub. Its RepoMasters card: Prototype tier. Ape-X DQN & DDPG with pytorch & tensorboard Language: Python.

| Field | Value |
| --- | --- |
| Owner | [jingweiz](https://repo.masters-masters.com/en/owners/jingweiz) |
| Stars | 102 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | deep-reinforcement-learning, distributed, dqn, ddpg, drl, apex |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jingweiz/pytorch-distributed](https://github.com/jingweiz/pytorch-distributed) |

## Repository

Ape-X DQN & DDPG with pytorch & tensorboard

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.