lockwo/distreqx
Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.
This library helps machine learning researchers and statisticians efficiently work with probability distributions and transformations (bijectors) within the JAX ecosystem. It takes mathematical descriptions of distributions and allows for operations like sampling and calculating probabilities, producing numerical results. This is primarily for those developing new statistical models or probabilistic machine learning algorithms.
Available on PyPI.
Use this if you are developing statistical models or probabilistic machine learning algorithms in JAX and need flexible, high-performance tools for defining and manipulating probability distributions and bijectors.
Not ideal if you are not working with JAX or if you need compatibility with TensorFlow Probability.
Stars
40
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 16, 2026
Commits (30d)
0
Dependencies
3
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