google / jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
☆918Updated this week
Related projects: ⓘ
- ☆759Updated 2 months ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,373Updated this week
- Optax is a gradient processing and optimization library for JAX.☆1,640Updated this week
- ☆529Updated 2 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆797Updated 3 weeks ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆340Updated 2 weeks ago
- Gaussian processes in JAX.☆436Updated last week
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆499Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,038Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆299Updated 3 weeks ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆421Updated last week
- JAX - A curated list of resources https://github.com/google/jax☆1,468Updated 2 months ago
- Turn SymPy expressions into trainable JAX expressions.☆313Updated 4 months ago
- Constrained optimization toolkit for PyTorch☆649Updated 2 years ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,111Updated 2 weeks ago
- State Space Models library in JAX☆661Updated last week
- Compositional Linear Algebra☆390Updated 2 weeks ago
- CLU lets you write beautiful training loops in JAX.☆318Updated 3 weeks ago
- Extending JAX with custom C++ and CUDA code☆369Updated last month
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,360Updated 4 months ago
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆841Updated last week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆230Updated last week
- functorch is JAX-like composable function transforms for PyTorch.☆1,389Updated this week
- Orbax provides common checkpointing and persistence utilities for JAX users☆283Updated this week
- Evolution Strategies in JAX 🦎☆480Updated 4 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆211Updated 3 weeks ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,038Updated 2 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆300Updated 6 months ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆555Updated 4 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆265Updated 2 years ago