Alternatives and similar repositories for MobiusCNNs

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

• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 4 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆125Updated 2 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆65Updated 2 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• massastrello / awesome-implicit-neural-models
  ☆105Updated 4 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆89Updated 3 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆82Updated last year
• mfinzi / LieConv
  ☆274Updated 2 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆77Updated last year
• ngruver / lie-deriv
  ☆39Updated 3 years ago
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 3 years ago
• zlin7 / CGNet
  ☆70Updated 2 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆81Updated 3 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆57Updated 6 years ago
• facebookresearch / meta-ot
  Meta Optimal Transport
  ☆106Updated 2 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆72Updated 2 years ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆23Updated 3 years ago
• ejnnr / steerable_pdos
  Fork of the E2CNN library that adds support for equivariant partial differential operators
  ☆17Updated 3 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆97Updated 4 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆61Updated 4 years ago
• master / tensorflow-riemopt
  A library for optimization on Riemannian manifolds
  ☆112Updated last month
• jinxu06 / gsubsampling
  Reference implementation for "Group Equivariant Subsampling"
  ☆16Updated 4 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆59Updated 4 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆50Updated 2 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 4 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆85Updated 4 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆72Updated 5 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 3 years ago
• fregu856 / ebms_regression
  Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …
  ☆106Updated 5 years ago