PythonOT / POTLinks
POT : Python Optimal Transport
☆2,743Updated this week
Alternatives and similar repositories for POT
Users that are interested in POT are comparing it to the libraries listed below
Sorting:
- Geometric loss functions between point clouds, images and volumes☆677Updated 9 months ago
- Computations and statistics on manifolds with geometric structures.☆1,451Updated this week
- Differentiable convex optimization layers☆2,048Updated this week
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,030Updated last week
- Awesome resources on normalizing flows.☆1,606Updated 7 months ago
- Constrained optimization toolkit for PyTorch☆706Updated 6 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,371Updated last year
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,419Updated 4 years ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆885Updated 8 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,824Updated this week
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,155Updated 3 months ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449Updated 7 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,552Updated last year
- Web site of the Computational Optimal Transport book☆373Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,629Updated 3 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,515Updated last year
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,952Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,565Updated this week
- Fast, differentiable sorting and ranking in PyTorch☆849Updated 7 months ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,701Updated last year
- Normalizing flows in PyTorch☆991Updated last year
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆838Updated 4 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆698Updated last week
- torch-optimizer -- collection of optimizers for Pytorch☆3,160Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,330Updated 10 months ago
- Fast Differentiable Sorting and Ranking☆616Updated last year
- Gaussian mixture models in PyTorch.☆584Updated 2 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…☆245Updated 4 years ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,982Updated last year
- Experiments for understanding disentanglement in VAE latent representations☆839Updated 3 years ago