ott-jax / ottLinks
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
☆625Updated last week
Alternatives and similar repositories for ott
Users that are interested in ott are comparing it to the libraries listed below
Sorting:
- Compositional Linear Algebra☆487Updated this week
- Gaussian processes in JAX and Flax.☆524Updated last month
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆983Updated 3 months ago
- ☆581Updated 3 weeks ago
- Constrained optimization toolkit for PyTorch☆693Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆450Updated 3 weeks ago
- Laplace approximations for Deep Learning.☆515Updated 3 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated last month
- Normalizing flows in PyTorch☆401Updated 2 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆937Updated 3 months ago
- A Python package for probabilistic state space modeling with JAX☆847Updated 3 weeks ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆454Updated 11 months ago
- Large-scale, multi-GPU capable, kernel solver☆190Updated 2 weeks ago
- Geometric kernels on manifolds, meshes and graphs☆263Updated 2 weeks ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 7 months ago
- ☆214Updated 3 years ago
- Uncertainty quantification with PyTorch☆366Updated 3 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆283Updated 2 weeks ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆461Updated 2 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆276Updated last week
- Turn SymPy expressions into trainable JAX expressions.☆345Updated 3 months ago
- Run PyTorch in JAX. 🤝☆266Updated 3 weeks ago
- ☆871Updated this week
- A library for programmatically generating equivariant layers through constraint solving☆269Updated 2 years ago
- ☆178Updated 3 weeks ago
- Normalizing flows in PyTorch☆937Updated 7 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 4 months ago
- A parallel ODE solver for PyTorch☆263Updated 10 months ago
- CLU lets you write beautiful training loops in JAX.☆351Updated last month
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆135Updated last month