PythonOT / POT
POT : Python Optimal Transport
☆2,431Updated this week
Related projects ⓘ
Alternatives and complementary repositories for POT
- Geometric loss functions between point clouds, images and volumes☆596Updated 10 months ago
- Constrained optimization toolkit for PyTorch☆661Updated 2 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆434Updated 6 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆853Updated 6 months ago
- Differentiable convex optimization layers☆1,823Updated last week
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,056Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,582Updated this week
- Gaussian mixture models in PyTorch.☆518Updated last year
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆766Updated last week
- Computations and statistics on manifolds with geometric structures.☆1,269Updated last week
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆527Updated this week
- Normalizing flows in PyTorch☆848Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,236Updated 7 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,044Updated 8 months ago
- Web site of the Computational Optimal Transport book☆356Updated last year
- Awesome resources on normalizing flows.☆1,438Updated last month
- Approximating Wasserstein distances with PyTorch☆455Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,400Updated 6 months ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,824Updated 3 months ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,594Updated 2 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,389Updated 3 years ago
- Fast, differentiable sorting and ranking in PyTorch☆774Updated 10 months ago
- A fast and differentiable QP solver for PyTorch.☆687Updated 2 months 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…☆206Updated 3 years ago
- Framework for Easily Invertible Architectures☆773Updated 4 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆5,885Updated 2 weeks ago
- GPU Accelerated t-SNE for CUDA with Python bindings☆1,804Updated last month
- Uniform Manifold Approximation and Projection☆7,468Updated 2 weeks ago
- Fast and Easy Infinite Neural Networks in Python☆2,279Updated 8 months ago
- Minimum-distortion embedding with PyTorch☆538Updated last year