Deci-AI/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
- Stars
- 5.1k
- Forks
- 592
- Open issues
- 120
- Last push
- 8mo ago
About super-gradients
super-gradients is a free, open-source computer vision tool by Deci-AI, written mainly in Jupyter Notebook. Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. It has 5.1k GitHub stars and 592 forks, and was last updated 8mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Jupyter Notebook
- Stars
- 5,074
- Last update
- 8mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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super-gradients FAQ
Is super-gradients free?
Yes. super-gradients is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does super-gradients run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does super-gradients need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is super-gradients still maintained?
It was last updated 8mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to super-gradients?
Similar free, open-source tools include yolov5, vision, supervision, yolov3.