google / jaxoptLinks
Hardware accelerated, batchable and differentiable optimizers in JAX.
☆999Updated 2 weeks ago
Alternatives and similar repositories for jaxopt
Users that are interested in jaxopt are comparing it to the libraries listed below
Sorting:
- ☆885Updated last month
- Optax is a gradient processing and optimization library for JAX.☆2,044Updated last week
- ☆599Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆481Updated 2 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆476Updated last week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆960Updated last week
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆662Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,800Updated 3 weeks ago
- Gaussian processes in JAX and Flax.☆541Updated last week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,613Updated this week
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆496Updated last week
- Turn SymPy expressions into trainable JAX expressions.☆351Updated 6 months ago
- Compositional Linear Algebra☆489Updated 2 months ago
- CLU lets you write beautiful training loops in JAX.☆356Updated 3 months ago
- Extending JAX with custom C++ and CUDA code☆401Updated last year
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Updated 2 months ago
- Constrained optimization toolkit for PyTorch☆699Updated 2 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆293Updated last week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆280Updated 2 weeks ago
- JAX - A curated list of resources https://github.com/google/jax☆1,944Updated last month
- A Python package for probabilistic state space modeling with JAX☆875Updated 3 months ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,135Updated this week
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆594Updated 9 months ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,579Updated 3 weeks ago
- PIX is an image processing library in JAX, for JAX.☆423Updated 7 months ago
- Probabilistic Numerics in Python.☆458Updated 3 months ago
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆946Updated 4 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 3 weeks ago
- Evolution Strategies in JAX 🦎☆672Updated last month
- Library for reading and processing ML training data.☆570Updated this week