yandexdataschool/deep_vision_and_graphics
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
- Stars
- 413
- Forks
- 125
- Open issues
- 2
- Last push
- 10mo ago
About deep_vision_and_graphics
deep_vision_and_graphics is a free, open-source computer vision tool by yandexdataschool, written mainly in Jupyter Notebook. Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech. It has 413 GitHub stars and 125 forks, and was last updated 10mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 413
- Last update
- 10mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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deep_vision_and_graphics FAQ
Is deep_vision_and_graphics free?
Yes. deep_vision_and_graphics is open source and free to use. It's released under the MIT license, a standard open-source license.
Does deep_vision_and_graphics run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does deep_vision_and_graphics need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is deep_vision_and_graphics still maintained?
It was last updated 10mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to deep_vision_and_graphics?
Similar free, open-source tools include deep-learning-drizzle, supervision, pytorch-grad-cam, ultralytics.