janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
- Stars
- 1.6k
- Forks
- 130
- Open issues
- 0
- Last push
- 2mo ago
About awesome-normalizing-flows
awesome-normalizing-flows is a free, open-source AI resource list by janosh, written mainly in Python. Awesome resources on normalizing flows. It has 1.6k GitHub stars and 130 forks, and was last updated 2mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 1,640
- Last update
- 2mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-normalizing-flows FAQ
Is awesome-normalizing-flows free?
Yes. awesome-normalizing-flows is open source and free to use. It's released under the MIT license, a standard open-source license.
Does awesome-normalizing-flows run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-normalizing-flows need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-normalizing-flows still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to awesome-normalizing-flows?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, API-mega-list, useful-java-links.