openai / ebm_code_release

Related projects ⓘ

Alternatives and complementary repositories for ebm_code_release

• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆147Updated 5 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆376Updated 2 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆417Updated 2 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆577Updated 3 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆187Updated 5 years ago
• paultsw / nice_pytorch
  Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
  ☆115Updated 6 years ago
• brain-research / acai
  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆244Updated 6 years ago
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆540Updated 5 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆483Updated 3 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆461Updated 5 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆464Updated 5 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆263Updated last year
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆345Updated 3 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆343Updated 2 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆274Updated 2 years ago
• daib13 / TwoStageVAE
  ☆230Updated 5 years ago
• riannevdberg / sylvester-flows
  ☆178Updated 5 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆519Updated 3 months 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 …
  ☆135Updated 8 months ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆223Updated 6 years ago
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆262Updated 6 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆224Updated 5 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆228Updated 6 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆352Updated 4 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 5 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆137Updated 4 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆237Updated last year
• rr-learning / disentanglement_dataset
  ☆75Updated 6 months ago
• openai / vdvae
  Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
  ☆436Updated last year
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆123Updated last year