Alternatives and similar repositories for lie_learn:

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

• mariogeiger / se3cnn
  Euclidean Neural Networks
  ☆194Updated 4 years ago
• tensorfieldnetworks / tensorfieldnetworks
  ☆157Updated 5 years ago
• mfinzi / LieConv
  ☆271Updated 2 years ago
• zlin7 / CGNet
  ☆69Updated 2 years ago
• daniilidis-group / spherical-cnn
  Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"
  ☆296Updated 3 years ago
• pimdh / lie-vae
  VAEs with Lie Group latent space
  ☆98Updated 3 years ago
• maxjiang93 / ugscnn
  Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators
  ☆168Updated last year
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 2 years ago
• adambielski / GrouPy
  Group Equivariant Convolutional Neural Networks
  ☆100Updated 7 years ago
• deepsphere / deepsphere-pytorch
  DeepSphere: a graph-based spherical CNN (PyTorch)
  ☆158Updated 3 years ago
• daniilidis-group / swscnn
  Demo source code for the paper "Spin-Weighted Spherical CNNs".
  ☆23Updated 3 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆44Updated 3 years ago
• rusty1s / pytorch_spline_conv
  Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
  ☆179Updated 3 weeks ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆268Updated 2 years ago
• FabianFuchsML / se3-transformer-public
  code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
  ☆519Updated last year
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated last year
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆118Updated last year
• xitorch / xitorch
  Differentiable scientific computing library
  ☆150Updated 8 months ago
• peisuke / ImplicitGeometricRegularization.pytorch
  ☆56Updated last year
• adambielski / pytorch-gconv-experiments
  Experiments with Group Equivariant Convolutions in PyTorch
  ☆115Updated 2 years ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆80Updated 11 months ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆184Updated 3 months ago
• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆82Updated 11 months ago
• lemacdonald / equivariant-convolutions
  ☆10Updated 3 years ago
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆90Updated 5 years ago
• utiasSTARS / bingham-rotation-learning
  A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
  ☆186Updated 7 months ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆54Updated 5 years ago
• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆110Updated 4 years ago
• Kommiu / GEM-CNN
  Pytorch implementation of Gauge Equivariant Mesh CNN papers
  ☆9Updated 4 years ago