PythonOT / POTLinks
POT : Python Optimal Transport
☆2,712Updated 2 weeks ago
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☆671Updated 8 months ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,020Updated 4 months ago
- Computations and statistics on manifolds with geometric structures.☆1,436Updated last month
- Differentiable convex optimization layers☆2,033Updated last week
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,415Updated 4 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,364Updated last year
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,949Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,816Updated last month
- Constrained optimization toolkit for PyTorch☆706Updated 5 months ago
- Web site of the Computational Optimal Transport book☆374Updated 2 years ago
- Extensible, parallel implementations of t-SNE☆1,586Updated last month
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆877Updated 6 months ago
- Awesome resources on normalizing flows.☆1,598Updated 5 months ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆837Updated 4 years ago
- GPU Accelerated t-SNE for CUDA with Python bindings☆1,913Updated last year
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449Updated 7 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Updated 3 years ago
- Bayesian optimization in PyTorch☆3,434Updated last week
- TensorLy: Tensor Learning in Python.☆1,650Updated last month
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,151Updated last month
- Normalizing flows in PyTorch☆981Updated last year
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,549Updated last year
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,691Updated last year
- Experiments for understanding disentanglement in VAE latent representations☆838Updated 2 years ago
- Code for visualizing the loss landscape of neural nets☆3,121Updated 3 years ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆978Updated 2 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆678Updated last month
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,977Updated last year
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,961Updated 9 months ago