wgrathwohl / JEM

Related projects ⓘ

Alternatives and complementary repositories for JEM

• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆364Updated 8 months ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆263Updated last year
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆376Updated 2 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆284Updated 3 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆274Updated 2 years ago
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆413Updated 3 years ago
• leymir / hyperbolic-image-embeddings
  Supplementary code for the paper "Hyperbolic Image Embeddings".
  ☆366Updated 2 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆577Updated 3 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆519Updated 3 months ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆265Updated 2 years ago
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆279Updated 3 weeks ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆237Updated last year
• PolinaKirichenko / flows_ood
  ☆86Updated 3 years ago
• SamsungLabs / pytorch-ensembles
  Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
  ☆235Updated last year
• izmailovpavel / understandingbdl
  ☆235Updated last year
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆352Updated 4 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆551Updated 9 months ago
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆123Updated last year
• loeweX / Greedy_InfoMax
  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
  ☆284Updated last year
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆343Updated 2 years ago
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆345Updated last year
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆137Updated 4 years ago
• daib13 / TwoStageVAE
  ☆230Updated 5 years ago
• izmailovpavel / flowgmm
  ☆146Updated 2 years ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆242Updated 4 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆272Updated 11 months ago
• openai / vdvae
  Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
  ☆436Updated last year
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆259Updated 4 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆79Updated 3 years ago
• prolearner / hypertorch
  ☆119Updated 5 months ago