Alternatives and similar repositories for ebm_code_release

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

• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆155Updated 6 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆387Updated 3 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆237Updated 6 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
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆519Updated 4 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆67Updated 6 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆190Updated 6 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆351Updated 3 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
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆142Updated 5 years ago
• rr-learning / disentanglement_dataset
  ☆79Updated 8 months ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆283Updated 3 years ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆349Updated 4 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆231Updated 7 years ago
• paultsw / nice_pytorch
  Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
  ☆123Updated 7 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆273Updated 2 years ago
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆142Updated 6 years ago
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆61Updated 3 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆470Updated 6 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆93Updated 4 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆240Updated 7 years ago
• riannevdberg / sylvester-flows
  ☆181Updated 6 years ago
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆173Updated 6 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆207Updated 7 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆147Updated last year
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆282Updated 7 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆380Updated 5 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆299Updated 7 years ago