aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
- Stars
- 1.1k
- Forks
- 128
- Open issues
- 6
- Last push
- 11mo ago
About conformal-prediction
conformal-prediction is a free, open-source computer vision tool by aangelopoulos, written mainly in Jupyter Notebook. Lightweight, useful implementation of conformal prediction on real data. It has 1.1k GitHub stars and 128 forks, and was last updated 11mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 1,107
- Last update
- 11mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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conformal-prediction FAQ
Is conformal-prediction free?
Yes. conformal-prediction is open source and free to use. It's released under the MIT license, a standard open-source license.
Does conformal-prediction run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does conformal-prediction need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is conformal-prediction still maintained?
It was last updated 11mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to conformal-prediction?
Similar free, open-source tools include sktime, supervision, openvino, vision.