Alternatives and similar repositories for counterfactual_generative_networks

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

• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆57Updated 4 years ago
• zhuxinqimac / PS-SC
  Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.
  ☆45Updated 3 years ago
• xrenaa / DisCo
  [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
  ☆136Updated 3 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• ermongroup / fairgen
  Fair Generative Modeling via Weak Supervision
  ☆20Updated 2 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆62Updated 3 years ago
• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 4 years ago
• sangwoomo / GOLD
  Mining GOLD Samples for Conditional GANs (NeurIPS 2019)
  ☆17Updated 5 years ago
• henrikmarklund / arm
  ☆83Updated last year
• meyerscetbon / LinearSinkhorn
  ☆16Updated 4 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated last year
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆82Updated 2 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆53Updated 3 years ago
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 5 years ago
• HaohanWang / PAR_experiments
  Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))
  ☆18Updated 2 years ago
• mlpc-ucsd / DC-VAE
  (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder
  ☆40Updated 2 years ago
• qilimk / biggan-am
  BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.
  ☆20Updated 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
• minyoungg / overparam
  ☆41Updated 2 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆44Updated 3 years ago
• batmanlab / twin-auxiliary-classifiers-gan
  ☆50Updated 5 years ago
• rgeirhos / shortcut-perspective
  Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
  ☆101Updated 3 years ago
• mbaradad / learning_with_noise
  Learning to See by Looking at Noise
  ☆111Updated 10 months ago
• XuezheMax / wolf
  Invertible Generative Flows
  ☆85Updated 4 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 3 years ago
• VITA-Group / Ultra-Data-Efficient-GAN-Training
  [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …
  ☆84Updated 3 years ago
• clovaai / rebias
  Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
  ☆174Updated last year
• parthnatekar / pgdl
  Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
  ☆40Updated 4 years ago
• zzzx1224 / SingleSampleGeneralization-ICLR2022
  ☆23Updated 3 years ago