Alternatives and similar repositories for fairgen

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

• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 4 years ago
• ruiqigao / recovery_likelihood
  ☆53Updated 4 years ago
• mbaradad / learning_with_noise
  Learning to See by Looking at Noise
  ☆114Updated last year
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆59Updated 4 years ago
• minyoungg / overparam
  ☆42Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• sangwoomo / GOLD
  Mining GOLD Samples for Conditional GANs (NeurIPS 2019)
  ☆17Updated 6 years ago
• mlpc-ucsd / DC-VAE
  (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder
  ☆40Updated 2 years ago
• XuezheMax / wolf
  Invertible Generative Flows
  ☆85Updated 4 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 3 years ago
• AilsaF / RS-GAN
  ☆32Updated 5 years ago
• a7b23 / H-Divergence
  ☆21Updated 3 years ago
• alinlab / BAR
  The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…
  ☆34Updated 5 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆67Updated 6 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 3 years ago
• meyerscetbon / LinearSinkhorn
  ☆16Updated 5 years ago
• xrenaa / DisCo
  [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
  ☆136Updated 3 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆40Updated 3 years ago
• zhuxinqimac / PS-SC
  Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.
  ☆45Updated 3 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 5 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• bpucla / latent-space-EBM-prior
  ☆38Updated 5 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• chingyaoc / kV-Margin
  NeurIPS 2021, Code for Measuring Generalization with Optimal Transport
  ☆28Updated 4 years ago
• KingJamesSong / RankFeat
  NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension
  ☆20Updated 10 months ago
• PolinaKirichenko / deep_feature_reweighting
  ☆110Updated 2 years ago