Alternatives and similar repositories for procrustes

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

• DiffusionMapsAcademics / pyDiffMap
  Library for diffusion maps
  ☆45Updated 3 years ago
• sissa-data-science / DADApy
  Distance-based Analysis of DAta-manifolds in python
  ☆134Updated 3 weeks ago
• xitorch / xitorch
  Differentiable scientific computing library
  ☆155Updated last year
• LuisScoccola / persistable
  density-based clustering for exploratory data analysis based on multi-parameter persistence
  ☆41Updated 3 months ago
• mfinzi / LieConv
  ☆273Updated 2 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated 2 years ago
• giotto-ai / giotto-deep
  Deep learning made topological.
  ☆90Updated last year
• ziatdinovmax / pyroVED
  Invariant representation learning from imaging and spectral data
  ☆52Updated last year
• stolzbernadette / Geometric-Anomalies
  ☆12Updated 5 years ago
• AMLab-Amsterdam / lie_learn
  Computations involving Lie groups and harmonic analysis
  ☆205Updated 8 months ago
• jmbr / diffusion-maps
  Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps
  ☆42Updated 4 years ago
• whitead / skunk
  Insert SVG images into matplotlib elements. Can be used to also compose matplotlib plots by nesting them.
  ☆86Updated 2 months ago
• Ryan-Rhys / FlowMO
  Library for training Gaussian Processes on Molecules
  ☆36Updated 3 years ago
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆20Updated 3 years ago
• aGIToz / Pytorch_pdegraph
  Running PDEs on graph
  ☆29Updated 3 years ago
• lizliz / teaspoon
  ☆45Updated 2 years ago
• master / tensorflow-riemopt
  A library for optimization on Riemannian manifolds
  ☆112Updated 6 months ago
• zlin7 / CGNet
  ☆70Updated 2 years ago
• mariogeiger / se3cnn
  Euclidean Neural Networks
  ☆201Updated 4 years ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆274Updated this week
• simpleinvariance / UniversalNetwork
  ☆16Updated 3 years ago
• NSAPH-Projects / topological-equivariant-networks
  Code for paper E(n)-Equivariant Topological Neural Networks
  ☆36Updated 11 months ago
• wwang2 / Coarse-Graining-Auto-encoders
  ☆40Updated 3 years ago
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆131Updated this week
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆23Updated 2 years ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆151Updated 2 years ago
• adamian / adamian.github.io
  ☆10Updated 9 months ago
• tensorfieldnetworks / tensorfieldnetworks
  ☆160Updated 5 years ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆139Updated 3 years ago