Alternatives and similar repositories for DisentanglementMetrics:

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

• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆50Updated 3 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• ermongroup / alignflow
  ☆32Updated 5 years ago
• a7b23 / H-Divergence
  ☆21Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• mboudiaf / Mutual-Information-Variational-Bounds
  A Tensorflow implementation Mutual Information estimation methods
  ☆46Updated last year
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆83Updated 2 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 3 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆40Updated last year
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆40Updated 2 years ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆17Updated 3 years ago
• cianeastwood / qedr
  Quantitative evaluation of disentangled representations
  ☆61Updated 6 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated 10 months ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆40Updated 6 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated last year
• rakhimovv / GenerativeLatentFlow
  The PyTorch implementation of the GLF
  ☆21Updated 3 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆34Updated last year
• thunder112358 / disentanglement-representation-using-vaes
  ☆17Updated 5 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 2 years ago
• fjxmlzn / InfoGAN-CR
  [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
  ☆41Updated 4 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 5 years ago
• JegZheng / CT-pytorch
  Repository for conditional transport
  ☆14Updated 3 years ago
• AilsaF / RS-GAN
  ☆29Updated 4 years ago