danielward27 / paramax
A small library of paramaterizations and parameter constraints for PyTrees.
☆18Updated 5 months ago
Alternatives and similar repositories for paramax:
Users that are interested in paramax are comparing it to the libraries listed below
- Github Action to: Check version / Test / git tag / GitHub Release / Deploy to PyPI☆14Updated last week
- Numerical quadrature with JAX☆53Updated this week
- Awesome Equinox - A curated list of resources of https://github.com/patrick-kidger/equinox☆14Updated 8 months ago
- A dead simple Python package for creating custom JAX pytree objects☆63Updated 4 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆104Updated 4 months ago
- Unitful Quantities in JAX☆32Updated this week
- Simulation-based inference in JAX☆31Updated last month
- Stencil computations in JAX☆70Updated last year
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆89Updated 2 weeks ago
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆15Updated last year
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆66Updated 8 months ago
- Interpolation and function approximation with JAX☆164Updated this week
- Generative models with JAX.☆17Updated 2 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆71Updated 2 weeks ago
- JAX + Units☆47Updated last month
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆23Updated 11 months ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆18Updated last year
- ☆151Updated 2 weeks ago
- Probabilistic Programming and Nested sampling in JAX☆171Updated 3 months ago
- Gradient Based Nested Sampling☆20Updated last year
- Multiple dispatch over abstract array types in JAX.☆115Updated 3 weeks ago
- Coordinates in JAX☆17Updated 2 weeks ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆44Updated 2 months ago
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆24Updated last month
- Special functions in Jax☆12Updated 3 weeks ago
- Minimal Implementation of Bayesian Optimization in JAX☆89Updated 2 months ago
- Orthogonal polynomials with JAX☆15Updated this week
- Turning SymPy expressions into JAX functions☆44Updated 4 years ago
- Stainless neural networks in JAX☆32Updated last week