Alternatives and similar repositories for dsprites-dataset

Users that are interested in dsprites-dataset are comparing it to the libraries listed below

• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆470Updated 6 years ago
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆362Updated 2 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆351Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆426Updated 3 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆894Updated last year
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆584Updated 7 years ago
• google-deepmind / 3d-shapes
  This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …
  ☆153Updated last year
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆200Updated 7 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆387Updated 3 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆231Updated 7 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆283Updated 3 years ago
• rr-learning / disentanglement_dataset
  ☆79Updated 8 months ago
• ravidziv / IDNNs
  explore DNNs via Infomration
  ☆266Updated 5 years ago
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,414Updated 4 years ago
• jhjacobsen / pytorch-i-revnet
  i-RevNet Pytorch Code
  ☆396Updated 4 years ago
• 1Konny / Beta-VAE
  Pytorch implementation of β-VAE
  ☆556Updated 4 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆142Updated 5 years ago
• brain-research / acai
  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆244Updated 7 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,010Updated 4 years ago
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆380Updated 5 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆361Updated 6 years ago
• openai / vdvae
  Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
  ☆449Updated 2 years ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆349Updated 4 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆241Updated last month
• cianeastwood / qedr
  Quantitative evaluation of disentangled representations
  ☆63Updated 7 years ago
• riannevdberg / sylvester-flows
  ☆181Updated 6 years ago
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆282Updated 7 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆905Updated 5 years ago