ott-jax / ott
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
☆526Updated this week
Related projects ⓘ
Alternatives and complementary repositories for ott
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆933Updated 2 months ago
- Compositional Linear Algebra☆432Updated 3 weeks ago
- Gaussian processes in JAX.☆461Updated 2 weeks ago
- ☆536Updated 2 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆301Updated 3 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆332Updated this week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆847Updated 3 weeks ago
- Normalizing flows in PyTorch☆329Updated last month
- ☆213Updated 2 years ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆249Updated this week
- Constrained optimization toolkit for PyTorch☆661Updated 2 years ago
- Large-scale, multi-GPU capable, kernel solver☆181Updated 4 months ago
- State Space Models library in JAX☆695Updated last week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆425Updated 2 months ago
- Laplace approximations for Deep Learning.☆471Updated this week
- ☆788Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆94Updated 2 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆360Updated last month
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆561Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,445Updated this week
- A parallel ODE solver for PyTorch☆232Updated last month
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆219Updated this week
- ☆303Updated this week
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆675Updated last month
- A library for programmatically generating equivariant layers through constraint solving☆257Updated last year
- Uncertainty quantification with PyTorch☆328Updated 2 weeks ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,219Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆322Updated 7 months ago
- Mathematical operations for JAX pytrees☆189Updated 6 months ago