Bayesian Inference in JAX
General Modules for JAX
Attax: adversarial attacks using JAX
Bayesian Conjugate Models in Python
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Simulation-based inference in JAX
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Gaussian Processes for Experimental Sciences
Multiple dispatch over abstract array types in JAX.
Basic utilities for Bayesian inference
Extract full next-token probabilities via language model APIs
An interface to facilitate rapid development and deployment of probabilistic models
A miscellaneous set of helper functions, custom distributions, and other utilities that I find us...
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
Concise deep learning for JAX
A GPT, made only of MLPs, in Jax