patrick-kidger / optimistixLinks
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
☆437Updated last month
Alternatives and similar repositories for optimistix
Users that are interested in optimistix are comparing it to the libraries listed below
Sorting:
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆457Updated 2 weeks ago
- Gaussian processes in JAX and Flax.☆521Updated 3 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆269Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆343Updated 2 months ago
- ☆173Updated last week
- Add a tqdm progress bar to your JAX scans and loops.☆110Updated 2 months ago
- Interpolation and function approximation with JAX☆200Updated last week
- The tiniest of Gaussian Process libraries☆313Updated this week
- Compositional Linear Algebra☆478Updated last month
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆280Updated last week
- ☆196Updated 3 weeks ago
- Mathematical operations for JAX pytrees☆198Updated 7 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆979Updated 3 months ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆484Updated last week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆111Updated 4 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆931Updated 2 months ago
- Run PyTorch in JAX. 🤝☆256Updated last week
- ☆579Updated this week
- Multiple dispatch over abstract array types in JAX.☆125Updated 3 weeks ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆205Updated 7 months ago
- JAX Arrays for human consumption☆106Updated last week
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated 2 months ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆247Updated last week
- A Python package of computer vision models for the Equinox ecosystem.☆107Updated 11 months ago
- State of the art inference for your bayesian models.☆219Updated 2 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆614Updated last week
- Extending JAX with custom C++ and CUDA code☆398Updated 10 months ago
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆32Updated this week
- Probabilistic Numerics in Python.☆452Updated last week
- Orbax provides common checkpointing and persistence utilities for JAX users☆404Updated this week