jax-ml/oryx
View on GitHubOryx is a library for probabilistic programming and deep learning built on top of Jax.
- Stars
- 328
- Forks
- 13
- Open beginner issues
- 0
- Indexed issues
- 17
- Avg merge
- 49m
- Merged PRs (30d)
- 2
- Dominant language
- Python
- License
- Apache-2.0
- Last GitHub push
- Sep 10, 2026
- Latest indexed
- Sep 18, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- good first issue
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 38/100
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Difficulty 4/5 3-5 days Newbie friendliness 38/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 4/5 3-5 days Newbie friendliness 45/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 45/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 55/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 1/5 Under an hour Newbie friendliness 10/100
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Difficulty 5/5 Over a week Newbie friendliness 15/100
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Specify Module's PyTree-Representation for jit/grad seperately. I.e. How to freeze state.variables Open
Difficulty 5/5 Over a week Newbie friendliness 20/100
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enhancement good first issue
Difficulty 4/5 3-5 days Newbie friendliness 35/100