Alternatives and similar repositories for s-vae-pytorch

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

• nicola-decao / s-vae-tf

  View on GitHub
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆236Dec 1, 2018Updated 7 years ago
• jiacheng-xu / vmf_vae_nlp

  View on GitHub
  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
  ☆171Dec 12, 2018Updated 7 years ago
• riannevdberg / sylvester-flows

  View on GitHub
  ☆181Jul 5, 2019Updated 6 years ago
• Schlumberger / joint-vae

  View on GitHub
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆470Apr 2, 2019Updated 6 years ago
• jmtomczak / vae_vampprior

  View on GitHub
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆233May 6, 2018Updated 7 years ago
• nicola-decao / power_spherical

  View on GitHub
  Pytorch implementation of the Power Spherical distribution
  ☆75Jul 21, 2024Updated last year
• emilemathieu / pvae

  View on GitHub
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆130Oct 3, 2023Updated 2 years ago
• ikostrikov / pytorch-flows

  View on GitHub
  PyTorch implementations of algorithms for density estimation
  ☆585May 13, 2021Updated 4 years ago
• pimdh / lie-vae

  View on GitHub
  VAEs with Lie Group latent space
  ☆99Jan 20, 2022Updated 4 years ago
• bharathgs / NALU

  View on GitHub
  Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
  ☆115Oct 3, 2018Updated 7 years ago
• xqding / TD-VAE

  View on GitHub
  Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
  ☆166Feb 20, 2023Updated 2 years ago
• joelouismarino / iterative_inference

  View on GitHub
  Implementation of iterative inference in deep latent variable models
  ☆43Aug 21, 2019Updated 6 years ago
• nicola-decao / BNAF

  View on GitHub
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆182Aug 19, 2021Updated 4 years ago
• artix41 / AVO-pytorch

  View on GitHub
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Aug 7, 2018Updated 7 years ago
• jrbtaylor / conditional-pixelcnn

  View on GitHub
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Jan 24, 2018Updated 8 years ago
• harvardnlp / sa-vae

  View on GitHub
  ☆152Feb 9, 2018Updated 8 years ago
• kingofspace0wzz / wae-rnf-lm

  View on GitHub
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Apr 1, 2020Updated 5 years ago
• conormdurkan / autoregressive-energy-machines

  View on GitHub
  Autoregressive Energy Machines
  ☆78Nov 22, 2022Updated 3 years ago
• google-deepmind / neural-processes

  View on GitHub
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,015Jan 19, 2021Updated 5 years ago
• alecwangcq / EigenDamage-Pytorch

  View on GitHub
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Mar 3, 2020Updated 5 years ago
• wohlert / semi-supervised-pytorch

  View on GitHub
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆710Mar 2, 2020Updated 5 years ago
• rtqichen / beta-tcvae

  View on GitHub
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆352Aug 31, 2022Updated 3 years ago
• rtqichen / ffjord

  View on GitHub
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆665Sep 22, 2020Updated 5 years ago
• DiffEqML / tutorials

  View on GitHub
  ☆11Apr 14, 2022Updated 3 years ago
• karpathy / pytorch-made

  View on GitHub
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆588Dec 8, 2018Updated 7 years ago
• pimdh / relie

  View on GitHub
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Jul 20, 2022Updated 3 years ago
• ssydasheng / FBNN

  View on GitHub
  Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
  ☆86Jul 19, 2020Updated 5 years ago
• daib13 / TwoStageVAE

  View on GitHub
  ☆239May 15, 2019Updated 6 years ago
• schelotto / Wasserstein-AutoEncoders

  View on GitHub
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆298Aug 7, 2020Updated 5 years ago
• wohlert / generative-query-network-pytorch

  View on GitHub
  Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
  ☆320Jun 24, 2019Updated 6 years ago
• google-research / disentanglement_lib

  View on GitHub
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,420May 16, 2021Updated 4 years ago
• 1Konny / Beta-VAE

  View on GitHub
  Pytorch implementation of β-VAE
  ☆568Dec 29, 2020Updated 5 years ago
• nkeriven / random-graph-gnn

  View on GitHub
  ☆12May 31, 2021Updated 4 years ago
• nadavbh12 / VQ-VAE

  View on GitHub
  Minimalist implementation of VQ-VAE in Pytorch
  ☆557Jun 3, 2021Updated 4 years ago
• pfnet-research / hyperbolic_wrapped_distribution

  View on GitHub
  ☆33May 31, 2019Updated 6 years ago
• facebookresearch / higher

  View on GitHub
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,627Mar 25, 2022Updated 3 years ago
• didriknielsen / survae_flows

  View on GitHub
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆290Feb 1, 2021Updated 5 years ago
• openai / ebm_code_release

  View on GitHub
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆363Apr 25, 2023Updated 2 years ago
• Joshuaalbert / jaxnlds

  View on GitHub
  Inference on non-linear dynamical systems written in JAX
  ☆11Aug 20, 2020Updated 5 years ago