patrick-kidger / lineax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
☆437Updated 2 weeks ago
Alternatives and similar repositories for lineax:
Users that are interested in lineax are comparing it to the libraries listed below
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆409Updated 2 weeks ago
- Gaussian processes in JAX and Flax.☆505Updated 3 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆257Updated last week
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆478Updated last month
- Turn SymPy expressions into trainable JAX expressions.☆337Updated last week
- Mathematical operations for JAX pytrees☆199Updated 5 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆962Updated 3 weeks ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆270Updated last week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆908Updated last week
- ☆157Updated 2 months ago
- Interpolation and function approximation with JAX☆176Updated 2 weeks ago
- The tiniest of Gaussian Process libraries☆307Updated 3 weeks ago
- ☆566Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated last month
- Compositional Linear Algebra☆475Updated last month
- ☆162Updated last week
- Orbax provides common checkpointing and persistence utilities for JAX users☆375Updated this week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆233Updated last week
- Add a tqdm progress bar to your JAX scans and loops.☆106Updated last month
- Run PyTorch in JAX. 🤝☆239Updated 2 months ago
- Multiple dispatch over abstract array types in JAX.☆120Updated 2 weeks ago
- State of the art inference for your bayesian models.☆212Updated this week
- Extending JAX with custom C++ and CUDA code☆394Updated 8 months ago
- ☆848Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,611Updated last week
- JAX Arrays for human consumption☆92Updated last year
- CLU lets you write beautiful training loops in JAX.☆337Updated 3 weeks ago
- OpTree: Optimized PyTree Utilities☆178Updated this week
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆588Updated this week
- A Python package of computer vision models for the Equinox ecosystem.☆103Updated 9 months ago