google-research / ott
☆213Updated 3 years ago
Alternatives and similar repositories for ott:
Users that are interested in ott are comparing it to the libraries listed below
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆567Updated this week
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- Riemannian Convex Potential Maps☆67Updated last year
- A library for programmatically generating equivariant layers through constraint solving☆264Updated last year
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆306Updated 2 months ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆107Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆112Updated 2 weeks ago
- Large-scale, multi-GPU capable, kernel solver☆185Updated 7 months ago
- Code for Neural Spline Flows paper☆264Updated 4 years ago
- A manifold optimization library for deep learning☆241Updated 3 years ago
- Experiment code for "Randomized Automatic Differentiation"☆66Updated 4 years ago
- Normalizing Flows using JAX☆82Updated last year
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆184Updated 2 months ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 7 months ago
- Convex potential flows☆83Updated 3 years ago
- ☆262Updated last year
- ☆164Updated 7 months ago
- Algorithms for computations on random manifolds made easier☆87Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆105Updated last month
- ☆153Updated last year
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆198Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆213Updated 2 years ago
- A Python library for mathematical optimization☆138Updated 5 months ago
- ☆98Updated 3 years ago
- Functional tensors for probabilistic programming☆238Updated last year