Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
☆748Jun 14, 2026Updated 2 weeks ago
Alternatives and similar repositories for ott
Users that are interested in ott are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆214Jan 31, 2022Updated 4 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,043Jun 4, 2026Updated 3 weeks ago
- ☆640Jun 12, 2026Updated 2 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆317Jun 24, 2026Updated last week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,911Jun 13, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆558Updated this week
- Optax is a gradient processing and optimization library for JAX.☆2,297Updated this week
- POT : Python Optimal Transport☆2,818Updated this week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,091Jun 23, 2026Updated last week
- ☆946Jun 12, 2026Updated 2 weeks ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆327Jun 24, 2026Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆598May 13, 2026Updated last month
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,060Jun 21, 2026Updated last week
- ☆18Jul 19, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Gaussian processes in JAX and Equinox.☆632Updated this week
- ☆235Jun 21, 2026Updated last week
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆529Jun 18, 2026Updated last week
- 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
- A differentiable cosmology library in JAX☆242Jun 27, 2025Updated last year
- Probabilistic Programming and Nested sampling in JAX☆241May 13, 2026Updated last month
- CLU lets you write beautiful training loops in JAX.☆367Mar 3, 2026Updated 3 months ago
- Library for reading and processing ML training data.☆747Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Meta Optimal Transport☆108May 25, 2023Updated 3 years ago
- Multi-omic single-cell optimal transport tools☆212Jun 22, 2026Updated last week
- A Python package for probabilistic state space modeling with JAX☆976Updated this week
- JAX Arrays for human consumption☆112Oct 23, 2025Updated 8 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,710Updated this week
- Geometric loss functions between point clouds, images and volumes☆701May 12, 2026Updated last month
- The tiniest of Gaussian Process libraries☆347Jun 12, 2026Updated 2 weeks ago
- Mathematical operations for JAX pytrees☆210Dec 5, 2024Updated last year
- State of the art inference for your bayesian models.☆243Jan 14, 2026Updated 5 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆259Oct 28, 2025Updated 8 months ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,832Jun 13, 2026Updated 2 weeks ago
- Orbax provides common checkpointing and persistence utilities for JAX users☆522Updated this week
- A Graph Neural Network Library in Jax☆1,472Mar 18, 2024Updated 2 years ago
- JAX-based neural network library☆3,246Jun 2, 2026Updated 3 weeks ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134May 7, 2026Updated last month
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆48Mar 13, 2023Updated 3 years ago