ott-jax / ottLinks
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
☆690Updated 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☆505Updated 5 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,015Updated 3 weeks ago
- Gaussian processes in JAX and Flax.☆574Updated this week
- ☆613Updated last month
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆524Updated 2 weeks ago
- Constrained optimization toolkit for PyTorch☆706Updated 5 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆996Updated last month
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Updated this week
- Normalizing flows in PyTorch☆440Updated last month
- A Python package for probabilistic state space modeling with JAX☆907Updated last week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆304Updated this week
- Laplace approximations for Deep Learning.☆531Updated 8 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆504Updated 3 weeks ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆602Updated last month
- Large-scale, multi-GPU capable, kernel solver☆196Updated 5 months ago
- Uncertainty quantification with PyTorch☆380Updated last week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆294Updated this week
- A library for programmatically generating equivariant layers through constraint solving☆280Updated 2 years ago
- ☆916Updated last week
- Geometric kernels on manifolds, meshes and graphs☆283Updated 3 weeks ago
- CLU lets you write beautiful training loops in JAX.☆365Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆462Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,875Updated 3 weeks ago
- ☆214Updated 3 years ago
- Turn SymPy expressions into trainable JAX expressions.☆357Updated 8 months ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆716Updated 6 months ago
- ☆261Updated 3 weeks ago
- Run PyTorch in JAX. 🤝☆309Updated 3 months ago
- A parallel ODE solver for PyTorch☆274Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆121Updated last month