Alternatives and similar repositories for POT

Users that are interested in POT are comparing it to the libraries listed below

• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆642Updated 3 months ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆956Updated last month
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,747Updated this week
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆1,967Updated last week
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆693Updated last week
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,405Updated 4 years ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,114Updated 2 weeks ago
• geomstats / geomstats
  Computations and statistics on manifolds with geometric structures.
  ☆1,384Updated 2 months ago
• pymanopt / pymanopt
  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
  ☆847Updated 2 months ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,621Updated 3 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,356Updated last year
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,551Updated 3 weeks ago
• optimaltransport / optimaltransport.github.io
  Web site of the Computational Optimal Transport book
  ☆367Updated 2 years ago
• ldeecke / gmm-torch
  Gaussian mixture models in PyTorch.
  ☆569Updated 2 years ago
• CannyLab / tsne-cuda
  GPU Accelerated t-SNE for CUDA with Python bindings
  ☆1,878Updated 10 months ago
• JavierAntoran / Bayesian-Neural-Networks
  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
  ☆1,909Updated last year
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆445Updated 7 years ago
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆821Updated 4 years ago
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,132Updated last year
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,318Updated this week
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆459Updated 2 years ago
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,518Updated last month
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆940Updated 7 months ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆825Updated 2 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆890Updated last year
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆604Updated 5 years ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆820Updated last month
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,664Updated 7 months ago
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆6,084Updated 4 months ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,615Updated 3 months ago