pimdh / lie-vae

Related projects ⓘ

Alternatives and complementary repositories for lie-vae

• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 2 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆115Updated last year
• AMLab-Amsterdam / lie_learn
  Computations involving Lie groups and harmonic analysis
  ☆192Updated 3 months ago
• zlin7 / CGNet
  ☆66Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆68Updated last year
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆73Updated 4 months ago
• tbepler / spatial-VAE
  Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019
  ☆63Updated 4 years ago
• dimkal89 / rvae
  ☆36Updated 4 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆160Updated 4 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated last year
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆176Updated 3 years ago
• mfinzi / LieConv
  ☆258Updated last year
• ParthaEth / Regularized_autoencoders-RAE-
  ☆121Updated last year
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆42Updated 2 years ago
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 2 years ago
• necludov / iMCMC
  ☆22Updated 4 years ago
• KarenUllrich / Pytorch-Backprojection
  This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019
  ☆36Updated 5 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆105Updated 4 years ago
• mariogeiger / se3cnn
  Euclidean Neural Networks
  ☆188Updated 3 years ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆32Updated 4 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 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…
  ☆88Updated 5 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 4 years ago
• pfnet-research / hyperbolic_wrapped_distribution
  ☆32Updated 5 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆123Updated 3 years ago
• wellecks / vaes
  Variational Autoencoders & Normalizing Flows Project
  ☆19Updated 7 years ago
• riannevdberg / sylvester-flows
  ☆178Updated 5 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆123Updated last year
• ehoogeboom / emerging
  ☆40Updated 5 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆60Updated last year