Mathematical operations for JAX pytrees
☆210Dec 5, 2024Updated last year
Alternatives and similar repositories for tree-math
Users that are interested in tree-math are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A dead simple Python package for creating custom JAX pytree objects☆66Nov 14, 2024Updated last year
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,047Jun 4, 2026Updated 3 weeks ago
- Tools for JAX☆50Updated this week
- Stencil computations in JAX☆72Nov 15, 2025Updated 7 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆557Jun 21, 2026Updated last week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆529Jun 18, 2026Updated last week
- A small library for creating and manipulating custom JAX Pytree classes☆56Feb 26, 2023Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆212Feb 26, 2023Updated 3 years ago
- Optax is a gradient processing and optimization library for JAX.☆2,293Jun 17, 2026Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- ☆640Jun 12, 2026Updated 2 weeks ago
- Exponential families for JAX☆77Updated this week
- ☆946Jun 12, 2026Updated 2 weeks ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,060Jun 21, 2026Updated last week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,911Jun 13, 2026Updated 2 weeks ago
- CLU lets you write beautiful training loops in JAX.☆367Mar 3, 2026Updated 3 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆317Updated this week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134May 7, 2026Updated last month
- Coordinates in JAX☆35May 20, 2026Updated last month
- JAX + Units☆54Mar 2, 2026Updated 3 months ago
- Turn SymPy expressions into trainable JAX expressions.☆369Apr 20, 2026Updated 2 months ago
- JAX - A curated list of resources https://github.com/google/jax☆2,132Jan 20, 2026Updated 5 months ago
- Extending JAX with custom C++ and CUDA code☆403Aug 18, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆327Updated this week
- A metrics library for the JAX ecosystem☆41Mar 16, 2023Updated 3 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,091Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆598May 13, 2026Updated last month
- A functional training loops library for JAX☆88Feb 13, 2024Updated 2 years ago
- Unitful Quantities in JAX☆64Jun 18, 2026Updated last week
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆47Jan 11, 2025Updated last year
- Matrix-free linear algebra in JAX.☆174Updated this week
- ☆80Sep 4, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Multiple dispatch over abstract array types in JAX.☆142Jun 22, 2026Updated last week
- ☆110Jun 25, 2024Updated 2 years ago
- a differentiable lensing simulator☆11Jan 18, 2022Updated 4 years ago
- JAX Arrays for human consumption☆112Oct 23, 2025Updated 8 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆242Dec 22, 2023Updated 2 years ago
- Gaussian processes in JAX and Equinox.☆630Jun 22, 2026Updated last week
- A Graph Neural Network Library in Jax☆1,472Mar 18, 2024Updated 2 years ago