Alternatives and similar repositories for parallel_transport_unfolding

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

• AndreaCensi / geometry
  Library for handling various differentiable manifolds.
  ☆53Updated 5 months ago
• samirchowdhury / HyperCOT
  Code for computing Hypergraph Co-Optimal Transport distances
  ☆16Updated 2 years ago
• harishd10 / recon
  Recon - A fast algorithm to compute Reeb graphs
  ☆15Updated 10 years ago
• nash169 / manifold-gp
  Repository containing the code for Implicit Manifold Gaussian Process.
  ☆15Updated 9 months ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆250Updated last month
• jrclayton / jhu-dissertation-mwe
  JHU Dissertation LaTeX mwe
  ☆30Updated 5 years ago
• harishd10 / TopoMap
  0-dimensional Homology Preserving Dimensionality Reduction
  ☆15Updated 4 years ago
• whuang08 / ROPTLIB
  ROPTLIB: Riemannian Manifold Optimization Library
  ☆73Updated 4 years ago
• dlwhittenbury / von-Mises-Fisher-Sampling
  Sampling and visualising the von Mises-Fisher distribution. An important hyper-spherical distribution.
  ☆13Updated 4 years ago
• SebastianRiedel / bingham
  Bingham Statistics Library (BSL)
  ☆43Updated 8 years 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…
  ☆19Updated 7 years ago
• Pseudomanifold / Aleph
  A library for exploring persistent homology
  ☆101Updated 2 years ago
• DominikPenk / mesh-signatures
  A small project implementing different per-vertex mesh signatures.
  ☆39Updated 9 months ago
• krislock / ExpVecEDM
  MATLAB code for solving the Euclidean Distance Matrix completion problem.
  ☆10Updated 7 years ago
• EEA-sensors / parallel-non-linear-gaussian-smoothers
  Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
  ☆27Updated 9 months ago
• HugoLav / DynamicalOTSurfaces
  ☆16Updated 6 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆89Updated last year
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• mhogg / pygeodesic
  Python library to compute geodesic distance over a triangular based surface mesh
  ☆99Updated 5 months ago
• nbonneel / spot
  SPOT: Sliced Partial Optimal Transport
  ☆61Updated 5 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆29Updated 3 months ago
• scikit-tda / ripser.py
  A Lean Persistent Homology Library for Python
  ☆296Updated last week
• hichamjanati / spatio-temporal-alignements
  Spatio-temporal alignements: Optimal transport in space and time
  ☆46Updated 3 weeks ago
• gpeyre / 2015-SIGGRAPH-convolutional-ot
  J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Opt…
  ☆104Updated 7 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• twmitchel / TS2Kit
  Differentiable Spherical Harmonic Transforms in PyTorch
  ☆17Updated 2 years ago
• rubenwiersma / pointcloud-differential
  Gradient, divergence, Laplacian on point clouds. Useful for setting up and solving PDEs on point clouds and learning anisotropic features…
  ☆75Updated 2 years ago
• igilitschenski / deep_bingham
  Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
  ☆34Updated 10 months ago
• bernhard-schmitzer / optimal-transport
  A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.
  ☆53Updated 3 years ago
• ChunyuanLI / spectral_descriptors
  A collection of spectral descriptors for 3D meshed surfaces
  ☆60Updated 7 years ago