PythonOT / POT
POT : Python Optimal Transport
☆2,517Updated 3 weeks ago
Alternatives and similar repositories for POT:
Users that are interested in POT are comparing it to the libraries listed below
- Constrained optimization toolkit for PyTorch☆673Updated 3 years ago
- Differentiable convex optimization layers☆1,906Updated 4 months ago
- Geometric loss functions between point clouds, images and volumes☆622Updated this week
- Web site of the Computational Optimal Transport book☆362Updated 2 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,084Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,682Updated last month
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,399Updated 3 years ago
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,051Updated last week
- Riemannian Adaptive Optimization Methods with pytorch optim☆916Updated 11 months ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆441Updated 6 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆220Updated 3 years ago
- Awesome resources on normalizing flows.☆1,509Updated last week
- A Python toolbox for performing gradient-free optimization☆4,043Updated this week
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,611Updated 3 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆578Updated this week
- Approximating Wasserstein distances with PyTorch☆458Updated 2 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,465Updated 11 months ago
- A PyTorch implementation of L-BFGS.☆600Updated 2 years ago
- Bayesian optimization in PyTorch☆3,223Updated last week
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,704Updated last year
- Normalizing flows in PyTorch☆904Updated 3 months ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 11 months ago
- Computations and statistics on manifolds with geometric structures.☆1,341Updated last month
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,890Updated last year
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆808Updated 4 months ago
- A small package to create visualizations of PyTorch execution graphs☆3,336Updated 3 months ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆811Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models☆744Updated 2 years ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,900Updated 8 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,330Updated last year