Alternatives and similar repositories for cxr_adv:

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

• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• tomsercu / SobolevGAN-SSL
  Code accompanying the paper Sobolev GAN https://arxiv.org/abs/1711.04894
  ☆12Updated 6 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 4 years ago
• recursionpharma / rxrx1-utils
  Starter code for the CellSignal NeurIPS 2019 competition.
  ☆45Updated 6 months ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 5 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 4 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• snakers4 / playing_with_vae
  Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
  ☆61Updated 6 years ago
• EigenPro / EigenPro2
  EigenPro2 iteration in Tensorflow (Keras)
  ☆23Updated 5 years ago
• lapalap / B-LRP
  B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
  ☆18Updated 2 years ago
• kondiz / casme
  ☆72Updated 4 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 2 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆85Updated 3 weeks ago
• jysonganan / DeepLearningSurvival
  PyTorch implementation of Deep Survival Models.
  ☆18Updated 7 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 4 years ago
• ruthcfong / perturb_explanations
  Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"
  ☆30Updated 5 years ago
• pawni / gpuobserver
  ☆29Updated 3 years ago
• Justin-Tan / entropy-sgd-tf
  TensorFlow implementation of entropy SGD
  ☆11Updated 6 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆61Updated last year
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆121Updated 3 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 6 years ago
• philipperemy / keras-sde-net
  Keras implementation of SDE-Net (ICML 2020).
  ☆15Updated 4 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆93Updated 2 years ago
• stes / fan
  Feature Aware Normalization - Code for "Context-based Normalization of Histological Stains using Deep Convolutional Features"
  ☆15Updated 6 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• AdamCobb / LCBNN
  ☆25Updated 2 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago