Alternatives and similar repositories for lie-vae:

Users that are interested in lie-vae are comparing it to the libraries listed below

• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 2 years ago
• zlin7 / CGNet
  ☆69Updated 2 years ago
• tbepler / spatial-VAE
  Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019
  ☆65Updated 5 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• KarenUllrich / Pytorch-Backprojection
  This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019
  ☆37Updated 5 years ago
• necludov / iMCMC
  ☆22Updated 4 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 9 months ago
• mariogeiger / se3cnn
  Euclidean Neural Networks
  ☆194Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• mfinzi / LieConv
  ☆271Updated 2 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆118Updated last year
• AMLab-Amsterdam / lie_learn
  Computations involving Lie groups and harmonic analysis
  ☆202Updated 2 months ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆44Updated 3 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆53Updated 2 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆178Updated 3 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆124Updated 3 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆124Updated last year
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 2 years ago
• dimkal89 / rvae
  ☆38Updated 4 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆122Updated 2 years ago
• moellenh / flatgan
  PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"
  ☆19Updated 5 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆54Updated 5 years ago
• riannevdberg / sylvester-flows
  ☆180Updated 5 years ago
• pfnet-research / hyperbolic_wrapped_distribution
  ☆32Updated 5 years ago
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 4 years ago
• phlippe / CategoricalNF
  Official repository for "Categorical Normalizing Flows via Continuous Transformations"
  ☆56Updated 4 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 3 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆166Updated 4 years ago
• tensorfieldnetworks / tensorfieldnetworks
  ☆157Updated 5 years ago