Alternatives and similar repositories for CGNet:

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

• pimdh / lie-vae
  VAEs with Lie Group latent space
  ☆97Updated 3 years ago
• mariogeiger / se3cnn
  Euclidean Neural Networks
  ☆192Updated 4 years ago
• AMLab-Amsterdam / lie_learn
  Computations involving Lie groups and harmonic analysis
  ☆197Updated last month
• KarenUllrich / Pytorch-Backprojection
  This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019
  ☆37Updated 5 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆90Updated 4 years ago
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 2 years ago
• katalinic / sdflows
  JAX exponential map normalising flows on sphere
  ☆17Updated 4 years ago
• tensorfieldnetworks / tensorfieldnetworks
  ☆157Updated 5 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• danielewworrall / cubenet
  3D Roto-translation equivariant convolutions
  ☆54Updated 6 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆117Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago
• horacepan / CCN
  Sample pytorch implementation of Covariant Compositional Networks
  ☆13Updated 7 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…
  ☆89Updated 5 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆53Updated 5 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• jrbtaylor / conditional-pixelcnn
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Updated 7 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• necludov / iMCMC
  ☆22Updated 4 years ago
• mfinzi / LieConv
  ☆265Updated last year
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆24Updated 5 years ago
• fdraxler / PyTorch-AutoNEB
  PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes
  ☆54Updated 2 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆69Updated 7 months ago
• insilicomedicine / TRIP
  A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
  ☆27Updated 9 months ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 7 months ago
• titu1994 / tf_fourier_features
  Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.
  ☆42Updated 4 years ago
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 4 years ago