patrick-kidger / quaxLinks
Multiple dispatch over abstract array types in JAX.
☆129Updated 3 weeks ago
Alternatives and similar repositories for quax
Users that are interested in quax are comparing it to the libraries listed below
Sorting:
- Stencil computations in JAX☆71Updated last year
- JAX Arrays for human consumption☆106Updated 2 months ago
- Matrix-free linear algebra in JAX.☆140Updated 3 weeks ago
- Add a tqdm progress bar to your JAX scans and loops.☆117Updated 4 months ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 8 months ago
- Minimal Implementation of Bayesian Optimization in JAX☆97Updated 4 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆276Updated last week
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆50Updated 2 months ago
- Mathematical operations for JAX pytrees☆200Updated 9 months ago
- A Wadler--Lindig pretty printer for Python☆41Updated 2 months ago
- ☆212Updated last week
- A dead simple Python package for creating custom JAX pytree objects☆64Updated 10 months ago
- A small library of paramaterizations and parameter constraints for PyTrees.☆40Updated 4 months ago
- A Python package of computer vision models for the Equinox ecosystem.☆109Updated last year
- ☆186Updated last month
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆283Updated last week
- Turn SymPy expressions into trainable JAX expressions.☆349Updated 4 months ago
- Exponential families for JAX☆73Updated this week
- A functional training loops library for JAX☆88Updated last year
- Run PyTorch in JAX. 🤝☆288Updated last week
- Implementation of Forward Laplacian algorithm in JAX☆84Updated 2 weeks ago
- Turn jitted jax functions back into python source code☆22Updated 9 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆466Updated last week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆129Updated 11 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 6 months ago
- Automatic Functional Differentiation in JAX☆77Updated 5 months ago
- Riemannian Optimization Using JAX☆52Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated this week
- Named Tensors for Legible Deep Learning in JAX☆203Updated this week
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆493Updated 3 weeks ago