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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.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
| Date | Stars |
|---|---|
| 2026-07-31 | 5051 |
| 2026-08-06 | 5051 |
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<div align="center" markdown="1"> <img src="documentation/assets/SG_img/SG - Horizontal Glow 2.png" width="600"/> <br/><br/> **Build, train, and fine-tune production-ready deep learning SOTA vision models** [](https://twitter.com/intent/tweet?text=Easily%20train%20or%20fine-tune%20SOTA%20computer%20vision%20models%20from%20one%20training%20repository&url=https://github.com/Deci-AI/super-gradients&via=deci_ai&hashtags=AI,deeplearning,computervision,training,opensource) #### Version 3.5 is out! Notebooks have been updated! ______________________________________________________________________ </div> <div align="center"> <p align="center"> <a href="#getting-started">Getting Started</a> • <a href="#implemented-model-architectures">Pretrained Models</a> • <a href="#community">Community</a> • <a href="#license">License</a> • </p> <p align="center"> <a href="https://github.com/Deci-AI/super-gradients#prerequisites"><img src="https://img.shields.io/badge/python-3.7%20%7C%203.8%20%7C%203.9-blue" /></a> <a href="https://github.com/Deci-AI/super-gradients#prerequisites"><img src="https://img.shields.io/badge/pytorch-1.9%20%7C%201.10-blue" /></a> <a href="https://pypi.org/project/super-gradients/"><img src="https://img.shields.io/pypi/v/super-gradients" /></a> <a href="https://github.com/Deci-AI/super-gradients/blob/master/documentation/source/model_zoo.md" ><img src="https://img.shields.io/badge/pre--trained%20models-34-brightgreen" /></a> <a href="https://github.com/Deci-AI/super-gradients/releases"><img src="https://img.shields.io/github/v/release/Deci-AI/super-gradients" /></a> <a href="https://join.slack.com/t/supergradients-comm52/shared_invite/zt-10vz6o1ia-b_0W5jEPEnuHXm087K~t8Q"><img src="https://img.shields.io/badge/slack-community-blueviolet" /></a> <a href="https://github.com/Deci-AI/super-gradients/blob/master/LICENSE.md"><img src="https://img.shields.io/badge/license-Apache%202.0-blue" /></a> <a href="https://docs.deci.ai/super-gradients/documentation/source/welcome.html"><img src="https://img.shields.io/badge/docs-mkdocs-brightgreen" /></a> </p> </div> ______________________________________________________________________ ## Build with SuperGradients __________________________________________________________________________________________________________ ### Support various computer vision tasks <div align="center"> <img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/assets/SG_img/Segmentation 1500x900 .png" width="250px"> <img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/assets/SG_img/Object detection 1500X900.png" width="250px"> <img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/assets/SG_img/Classification 1500x900.png" width="250px"> <img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/assets/SG_img/PoseEstimation.jpg" width="250px"> </div> ### Ready to deploy pre-trained SOTA models YOLO-NAS and YOLO-NAS-POSE architectures are out! The new YOLO-NAS delivers state-of-the-art performance with the unparalleled accuracy-speed performance, outperforming other models such as YOLOv5, YOLOv6, YOLOv7 and YOLOv8. A YOLO-NAS-POSE model for pose estimation is also available, delivering state-of-the-art accuracy/performance tradeoff. Check these out here: [YOLO-NAS](YOLONAS.md) & [YOLO-NAS-POSE](YOLONAS-POSE.md). <div align="center"> <img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/source/images/yolo_nas_frontier.png" height="600px"> <img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/source/images/yolo_nas_pose_frontier_t4.png" height="600px"> </div> ```python # Load model with pretrained weights from super_gradients.training import models from super_gradients.common.object_names import Models model = models.get(Models.YOLO_NAS_M, pretrained_weights=
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Would you bet a product on this? Bounded 0–100 and slow moving.
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