Alternatives and similar repositories for Wasserstein-PCA:

Users that are interested in Wasserstein-PCA are comparing it to the libraries listed below

• TeaspoonTDA / teaspoon
  Topological Signal Processing in Python
  ☆23Updated last week
• geomstats / challenge-iclr-2021
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆49Updated 2 years ago
• scikit-tda / tadasets
  Synthetic data sets apt for Topological Data Analysis
  ☆34Updated 6 months ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆28Updated 3 years ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆40Updated 4 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• samirchowdhury / HyperCOT
  Code for computing Hypergraph Co-Optimal Transport distances
  ☆16Updated 2 years ago
• ximenafernandez / intrinsicPH
  This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'
  ☆10Updated last year
• antonfrancois / Demeter_metamorphosis
  Open library for LDDMM and Metamorphosis in PyTorch
  ☆20Updated this week
• BorgwardtLab / fMRI_Cubical_Persistence
  Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
  ☆24Updated 4 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• CSU-TDA / PersistenceImages
  This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".
  ☆42Updated 4 years ago
• scikit-tda / cechmate
  Custom filtration constructors for Python
  ☆21Updated 3 years ago
• olivierverdier / diffeopt
  Optimisation on Diffeomorphisms
  ☆12Updated 3 months ago
• vikashg / Geometry-Reading-list
  A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…
  ☆18Updated 6 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆62Updated 5 months ago
• icemiliang / pyvot
  A Python implementation of Monge optimal transportation
  ☆49Updated last year
• lizliz / teaspoon
  ☆44Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• MathieuCarriere / sklearn-tda
  Open source library for combining TDA and Machine Learning
  ☆88Updated last year
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated last year
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆18Updated last year
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆33Updated 3 years ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆64Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆21Updated 3 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆54Updated 5 years ago
• salimandre / unsupervised-image-segmentation-persistent-homology
  Unsupervised image segmentation by applying topological data analysis techniques.
  ☆30Updated 4 years ago
• benchopt / template_benchmark
  ☆25Updated 3 months ago
• CompTop / torch-tda
  Automatic differentiation through persistence diagrams with PyTorch
  ☆15Updated 7 months ago
• samcohen16 / Aligning-Time-Series
  ☆50Updated 5 months ago