Alternatives and similar repositories for DSEBM

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

• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• k9k2 / qSGD
  SGD and Ordered SGD codes for deep learning, SVM, and logistic regression
  ☆35Updated 4 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 7 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• geosada / LVAE
  LVAE: Ladder Variational Auto-Encoders (NIPS 2016) with TensorFlow.
  ☆16Updated 7 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• ZidiXiu / ECRT
  Supercharging Imbalanced Data Learning WithCausal Representation Transfer
  ☆12Updated 3 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• AMLab-Amsterdam / DataAugmentationInterventions
  ☆27Updated 4 years ago
• matthewwicker / StatisticalGuarenteesForBNNs
  Repository containing code for getting statistical guarantees on properties of BNNs
  ☆13Updated 6 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 7 years ago
• snap-stanford / crust
  [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
  ☆34Updated 4 years ago
• ssp573 / Contrastive-Predictive-Coding
  ☆26Updated 6 years ago
• eyounx / GANMM
  Mixture of Generative Adversarial Networks for Clustering
  ☆16Updated 7 years ago
• arthurmensch / g-softmax
  Pytorch package for geometric softmax
  ☆12Updated 5 years ago
• boschresearch / hierarchical_anomaly_detection
  Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…
  ☆41Updated 4 years ago
• mgong2 / DA_Infer
  Domain Adaptation as a Problem of Inference on Graphical Models
  ☆29Updated 4 years ago
• sverneka / OODGen
  Out-of-distribution Detection via Generation - NeurIPS 2019
  ☆18Updated 5 years ago
• mitmul / chainer-nri
  Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer
  ☆33Updated 6 years ago
• hschoi1 / rich_latent
  rich posterior approximations and anomaly detection
  ☆20Updated 6 years ago
• MarcTLaw / DeepSpectralClusteringToy
  PyTorch implementation of Deep Spectral Clustering paper on a toy dataset
  ☆25Updated 6 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago