Alternatives and similar repositories for relie

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

• pimdh / lie-vae
  VAEs with Lie Group latent space
  ☆99Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• mfinzi / LieConv
  ☆273Updated 2 years ago
• pfnet-research / hyperbolic_wrapped_distribution
  ☆33Updated 6 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆84Updated 3 years ago
• seuqaj114 / paig
  Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video
  ☆42Updated 2 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆73Updated last year
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆57Updated 4 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆55Updated 5 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆121Updated 2 years ago
• zlin7 / CGNet
  ☆70Updated 2 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆74Updated last year
• cunningham-lab / igr
  ☆30Updated 4 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• moellenh / flatgan
  PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"
  ☆19Updated 6 years ago
• AMLab-Amsterdam / lie_learn
  Computations involving Lie groups and harmonic analysis
  ☆205Updated 8 months ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆88Updated 2 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆124Updated 2 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆130Updated 5 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆76Updated last year
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 2 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆59Updated 4 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated last year
• wgrathwohl / VERA
  ☆64Updated last year
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆181Updated 4 years ago
• necludov / iMCMC
  ☆22Updated 5 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆53Updated 5 years ago
• massastrello / awesome-implicit-neural-models
  ☆103Updated 4 years ago
• katalinic / sdflows
  JAX exponential map normalising flows on sphere
  ☆17Updated 5 years ago