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-Transfer2.5, built on top of Cosmos-Predict2.5, produces high-quality world simulations conditioned on multiple spatial control inputs.
| Date | Stars |
|---|---|
| 2026-07-24 | 709 |
| 2026-07-25 | 710 |
| 2026-07-28 | 710 |
| 2026-07-30 | 710 |
| 2026-08-06 | 710 |
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> [!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-Transfer2.5, Cosmos 3 delivers significantly stronger transfer capabilities, enabling higher-fidelity transformation, adaptation, and simulation across diverse domains, sensors, environments, and embodiments.
>
> Beyond improving transfer quality, Cosmos 3 unifies capabilities that previously required multiple specialized models. A single Cosmos 3 model can reason, predict future world states, transfer across domains and modalities, and generate actions and policies for embodied agents within one unified architecture.
>
> 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-Transfer2.5. 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://github.com/user-attachments/assets/28f2d612-bbd6-44a3-8795-833d05e9f05f" width="274" alt="NVIDIA Cosmos"/>
</p>
<p align="center">
<a href="https://www.nvidia.com/en-us/ai/cosmos/"> Product Website</a>  | 🤗 <a href="https://huggingface.co/nvidia/Cosmos-Transfer2.5-2B">Hugging Face</a>  | <a href="https://arxiv.org/abs/2511.00062">Paper</a> | <a href="https://research.nvidia.com/labs/dir/cosmos-transfer2.5/">Paper Website</a> | <a href="https://github.com/nvidia-cosmos/cosmos-cookbook">Cosmos Cookbook</a>
</p>
NVIDIA Cosmos™ is a platform purpose-built for physical AI, featuring state-of-the-art generative world foundation models (WFMs), robust guardrails, and an accelerated data processing and curation pipeline. Designed specifically for real-world systems, Cosmos enables developers to rapidly advance physical AI applications such as autonomous vehicles (AVs), robots, and video analytics AI agents.
Cosmos World Foundation Models come in three model types which can all be customized in post-training: [cosmos-predict](https://github.com/nvidia-cosmos/cosmos-predict2.5), [cosmos-transfer](https://github.com/nvidia-cosmos/cosmos-transfer2.5), and [cosmos-reason](https://github.com/nvidia-cosmos/cosmos-reason1).
## News
* [June 1, 2026] [Cosmos 3](https://github.com/nvidia/cosmos) is live! We’re excited to share that Cosmos 3 has launched — NVIDIA’s next-generation family of open omnimodal world foundation models for Physical AI. As part of this launch, the Cosmos GitHub repositories have moved to the [main NVIDIA GitHub organization](https://github.com/nvidia/cosmos): [https://github.com/nvidia/cosmos](https://github.com/nvidia/cosmos). Cosmos 3 unifies language, images, video, audio, and actions in a single architecture, enabling developers to build agents that can understand, reason, simulate, and act in the physical world. Please use the new repository as the source of truth for the latest code, models, documentation, and updates.
* [February 23, 2026] Released Transfer2.5 Distilled Edge [model](https://huggingface.co/nvidia/Cosmos-Transfer2.5-2B/tree/main/distilled/general/edge) and [inference](https://github.com/nvidia-cosmos/cosmos-transfer2.5/blob/main/docs/inference.md), enabling low latency (edge deployment) inference. More distilled controlnets coming soon.
* [December 19, 2025] Released Image2Image and ImagePrompt capabilities. See the inference guide [here](docs/inference_image.md).
* [December 12, 2025] Released updated checkpoints for [Cosmos-Transfer2.5-2B](https://huggingface.co/nvidia/Cosmos-Transfer2.5-2B) (blur, depth, segmentation, edge), fixed an issue with autoregressive multiview when num_conditional_frames == 0, optimizExcerpt of 13,527 characters
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Ming-Yu Liu 劉洺堉 · NVIDIA · United States
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Miguel Martin · NVIDIA · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e2e25e60b2ae9940, topic:video-generation