google-research / ott
☆213Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ott
- 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
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆526Updated this week
- Code for Neural Spline Flows paper☆259Updated 4 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆270Updated 2 years ago
- A library for programmatically generating equivariant layers through constraint solving☆257Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆284Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆179Updated 3 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆142Updated last year
- Pytorch implementation of Block Neural Autoregressive Flow☆176Updated 3 years ago
- Riemannian Convex Potential Maps☆68Updated last year
- Normalizing Flows using JAX☆82Updated 11 months ago
- ☆536Updated 2 months ago
- ☆258Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆94Updated 2 months ago
- ☆178Updated 5 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆160Updated 4 years ago
- A Machine Learning workflow for Slurm.☆146Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆86Updated 11 months ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆104Updated 2 years ago
- Documentation:☆120Updated last year
- Large-scale, multi-GPU capable, kernel solver☆181Updated 4 months ago
- ☆235Updated last year
- ☆97Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆107Updated this week
- A Pytree Module system for Deep Learning in JAX☆214Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆561Updated this week
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year