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
  ☆276Updated 3 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆270Updated last year
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆382Updated 2 years ago
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆421Updated 3 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆373Updated last year
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆583Updated 3 years ago
• PolinaKirichenko / flows_ood
  ☆87Updated 3 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆270Updated 2 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆348Updated 2 years ago
• SamsungLabs / pytorch-ensembles
  Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
  ☆235Updated 2 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆363Updated 5 years ago
• google-research / robustness_metrics
  ☆470Updated last week
• leymir / hyperbolic-image-embeddings
  Supplementary code for the paper "Hyperbolic Image Embeddings".
  ☆375Updated 3 years ago
• izmailovpavel / flowgmm
  ☆148Updated 3 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆239Updated last year
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆125Updated last year
• izmailovpavel / understandingbdl
  ☆241Updated 2 years ago
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆291Updated 3 months ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆244Updated 5 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆272Updated 3 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
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆564Updated last year
• riannevdberg / sylvester-flows
  ☆180Updated 5 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆527Updated 9 months ago
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆400Updated 4 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆138Updated 4 years ago
• cybertronai / autograd-hacks
  ☆157Updated 2 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆277Updated last year