jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
- Stars
- 4.1k
- Forks
- 629
- Open issues
- 22
- Last push
- 4mo ago
About awesome-machine-learning-interpretability
awesome-machine-learning-interpretability is a free, open-source AI resource list by jphall663. A curated list of awesome responsible machine learning resources. It has 4.1k GitHub stars and 629 forks, and was last updated 4mo ago. It uses the CC0-1.0 license; check its terms before commercial use.
- License
- CC0-1.0
- Language
- –
- Stars
- 4,076
- Last update
- 4mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-machine-learning-interpretability FAQ
Is awesome-machine-learning-interpretability free?
Yes. awesome-machine-learning-interpretability is open source and free to use. It uses the CC0-1.0 license; check its terms before commercial use.
Does awesome-machine-learning-interpretability run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-machine-learning-interpretability need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-machine-learning-interpretability still maintained?
It was last updated 4mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to awesome-machine-learning-interpretability?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, yt-channels-DS-AI-ML-CS, h4cker, Prompt-Engineering-Guide.