Alternatives and similar repositories for DisentanglementMetrics:

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

• a7b23 / H-Divergence
  ☆21Updated 2 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆55Updated 2 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
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 4 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• ruiqigao / recovery_likelihood
  ☆50Updated 4 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 3 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• wgrathwohl / VERA
  ☆64Updated last year
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated last year
• ermongroup / alignflow
  ☆33Updated 5 years ago
• ok1zjf / LBAE
  PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"
  ☆24Updated 4 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆35Updated 3 years ago
• AilsaF / RS-GAN
  ☆31Updated 4 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆44Updated 2 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆60Updated 3 years ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆17Updated 4 years ago
• fmu2 / NICE
  PyTorch implementation of NICE
  ☆33Updated 6 years ago
• eitanrich / torch-mfa
  Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch
  ☆40Updated 2 years ago
• zhuxinqimac / CommutativeLieGroupVAE-Pytorch
  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
  ☆22Updated 2 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆41Updated 2 years ago
• PolinaKirichenko / flows_ood
  ☆87Updated 3 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 3 years ago
• rakhimovv / GenerativeLatentFlow
  The PyTorch implementation of the GLF
  ☆21Updated 3 years ago
• VinAIResearch / DSW
  Distributional Sliced-Wasserstein distance code
  ☆49Updated 9 months ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆83Updated 3 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 8 months ago