Alternatives and similar repositories for hyperbolic_wrapped_distribution

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

• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆58Updated 3 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 2 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆80Updated 3 years ago
• wgrathwohl / VERA
  ☆64Updated last year
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆65Updated 4 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆123Updated 2 years ago
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 3 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆68Updated 4 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated last year
• cunningham-lab / igr
  ☆30Updated 4 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆57Updated 4 years ago
• makora9143 / pytorch-convcnp
  A PyTorch Implementation of Convolutional Conditional Neural Process.
  ☆51Updated 5 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• Zhiyuan1991 / proVLAE
  ☆27Updated 5 years ago
• pimdh / lie-vae
  VAEs with Lie Group latent space
  ☆99Updated 3 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 4 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 6 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆128Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• AkinoriTanaka-phys / DOT
  code submission to NeurIPS2019
  ☆13Updated 2 years ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆41Updated 5 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆62Updated 2 years ago