Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.
| Date | Stars |
|---|---|
| 2026-08-05 | 467 |
| 2026-08-11 | 465 |
| 2026-08-12 | 465 |
| 2026-08-14 | 465 |
| 2026-08-15 | 465 |
| 2026-08-18 | 465 |
| 2026-08-19 | 465 |
| 2026-08-20 | 465 |
| 2026-08-24 | 466 |
| 2026-08-27 | 467 |
| 2026-09-01 | 467 |
| 2026-09-02 | 466 |
| 2026-09-05 | 467 |
| 2026-09-07 | 468 |
| 2026-09-10 | 468 |
| 2026-09-11 | 469 |
| 2026-09-12 | 470 |
| 2026-09-17 | 470 |
| 2026-09-20 | 471 |
| 2026-09-21 | 472 |
| 2026-09-22 | 474 |
| 2026-09-25 | 474 |
| 2026-09-30 | 476 |
| 2026-10-06 | 476 |
| 2026-10-15 | 477 |
| 2026-10-17 | 478 |
| 2026-10-20 | 479 |
| 2026-10-21 | 480 |
| 2026-10-26 | 481 |
| 2026-10-30 | 481 |
| 2026-11-02 | 482 |
| 2026-11-03 | 485 |
| 2026-11-04 | 486 |
Today
+1 stars today
This week
+5 stars this week
This month
+10 stars this month
Momentum
44.0
growth rate 1.04%/day
> [!IMPORTANT]
> ## 🚀 [Cosmos 3 Has Arrived](https://github.com/nvidia/cosmos)
>
> Cosmos 3 is NVIDIA's next-generation foundation model platform for Physical AI. Compared with Cosmos-RL, Cosmos 3 unifies reasoning, world prediction, simulation, transfer, and action generation within a single model family and ecosystem.
>
> Rather than relying on separate models for reasoning, prediction, transfer, and policy learning, a single Cosmos 3 model can understand the world, reason about physical interactions, predict future outcomes, transform observations across domains, and generate actions for embodied agents. This unified architecture enables stronger performance across a broad range of Physical AI applications, including robotics, autonomous vehicles, and smart spaces.
>
> This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3.
>
> 👉 Visit the new Cosmos home: https://github.com/nvidia/cosmos
>
> There you will find the latest Cosmos 3 models, technical reports, tutorials, benchmarks, and ecosystem updates.
>
> Thank you for your support of Cosmos-RL. We encourage all users to migrate to Cosmos 3 for the latest state-of-the-art Physical AI capabilities.
<p align="center">
<img src="https://raw.githubusercontent.com/nvidia-cosmos/cosmos-rl/main/assets/nvidia-cosmos-header.png" alt="NVIDIA Cosmos Header">
</p>
## Getting Started
Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.
[Documentation](https://nvidia-cosmos.github.io/cosmos-rl).
## System Architecture
Cosmos-RL provides toolchain to enable large scale RL training workload with following features:
1. **Parallelism**
- Tensor Parallelism
- Sequence Parallelism
- Context Parallelism
- FSDP Parallelism
- Pipeline Parallelism
2. **Fully asynchronous (replicas specialization)**
- Policy (Consumer): Replicas of training instances
- Rollout (Producer): Replicas of generation engines
- Low-precision training (FP8) and rollout (FP8 & FP4) support
3. **Single-Controller Architecture**
- Efficient messaging system (e.g., `weight-sync`, `rollout`, `evaluate`) to coordinate policy and rollout replicas
- Dynamic NCCL Process Groups for on-the-fly GPU [un]registration to enable fault-tolerant and elastic large-scale RL training
## License and Contact
This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.
NVIDIA Cosmos source code is released under the [Apache 2 License](https://www.apache.org/licenses/LICENSE-2.0).
NVIDIA Cosmos models are released under the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license). For a custom license, please contact [[email protected]](mailto:[email protected]).
Excerpt of 3,165 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:bf1b29f3635c8d06, llm:Repository description: 'Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.' (nvidia-cosmos/cosmos-rl).
matched fp:bf1b29f3635c8d06, llm:Repository description: 'Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.' (nvidia-cosmos/cosmos-rl).
matched fp:bf1b29f3635c8d06, llm:Repository description: 'Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.' (nvidia-cosmos/cosmos-rl).