Alternatives and similar repositories for JEM

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

• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆278Updated 3 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆271Updated last year
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆384Updated 2 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆374Updated last year
• PolinaKirichenko / flows_ood
  ☆88Updated 3 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆272Updated 2 years ago
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆128Updated last year
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• loeweX / Greedy_InfoMax
  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
  ☆285Updated 2 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆241Updated 2 years ago
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆423Updated 3 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆351Updated 2 years ago
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆294Updated 2 months ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆528Updated 11 months ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆370Updated 5 years ago
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆352Updated 2 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆586Updated 4 years ago
• izmailovpavel / understandingbdl
  ☆240Updated 2 years ago
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago
• izmailovpavel / flowgmm
  ☆149Updated 3 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆233Updated 5 years ago
• cybertronai / autograd-hacks
  ☆157Updated 3 years ago
• leymir / hyperbolic-image-embeddings
  Supplementary code for the paper "Hyperbolic Image Embeddings".
  ☆378Updated 3 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆140Updated 4 years ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆468Updated 2 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• riannevdberg / sylvester-flows
  ☆180Updated 6 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆569Updated last year
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆400Updated 5 years ago
• google-research / robustness_metrics
  ☆470Updated 2 months ago