Alternatives and similar repositories for DeepModels-MNIST-CIFAR10-Tensorflow

Users that are interested in DeepModels-MNIST-CIFAR10-Tensorflow are comparing it to the libraries listed below

• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 5 years ago
• hendrycks / fooling
  Code for the Adversarial Image Detectors and a Saliency Map
  ☆12Updated 8 years ago
• yk / icml19_public
  ☆21Updated 4 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
• MGoibert / Label_smoothing
  Code for the paper Adversarial Robustness via Adversarial Label-Smoothing
  ☆11Updated 5 years ago
• cschin / CNP-clustering
  Explore using "Conditional Neural Process" for clustering longitudinal data efficiently
  ☆13Updated 6 years ago
• matthewwicker / StatisticalGuarenteesForBNNs
  Repository containing code for getting statistical guarantees on properties of BNNs
  ☆13Updated 6 years ago
• masataka46 / BiGAN
  implementation of BiGAN model using tensorflow
  ☆16Updated 6 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 5 years ago
• yli96 / DSEBM
  Deep Structured Energy Based Model
  ☆11Updated 7 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• bruno-31 / ImprovedGAN-Tensorflow
  A Tensorflow implementation of Improved GANs for semi supervised learning from Salimans et al.
  ☆21Updated 6 years ago
• ritheshkumar95 / pytorch-normalizing-flows
  ☆17Updated 6 years ago
• vita-epfl / collaborative-gan-sampling
  [AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
  ☆24Updated 4 years ago
• sverneka / OODGen
  Out-of-distribution Detection via Generation - NeurIPS 2019
  ☆18Updated 5 years ago
• bruno-31 / gan-manifold-reg
  This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning
  ☆24Updated 6 years ago
• PKUAI26 / Bayesian-Adversarial-Learning
  ☆20Updated 6 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• dongzhuoyao / admm_nn
  Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement
  ☆15Updated 7 years ago
• hui-po-wang / Pytorch-VAE-GAN
  Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric
  ☆29Updated 7 years ago
• deepgenerativeclassifier / DeepBayes
  Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
  ☆23Updated 6 years ago
• Sabokrou / NRE
  ☆11Updated 5 years ago
• adler-j / bwgan
  Code for the paper "Banach Wasserstein GAN"
  ☆31Updated 6 years ago
• fmeier / online-meta-learning
  ☆26Updated 6 years ago
• ranery / Bayesian-CycleGAN
  [TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
  ☆46Updated 4 years ago
• AhmedFrikha / ARCADe-A-Rapid-Continual-Anomaly-Detector
  A Meta-Learning Approach for Continual Anomaly Detection
  ☆11Updated 4 years ago
• oval-group / statistical-robustness
  Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"
  ☆12Updated 6 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆19Updated 6 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• uds-lsv / evaluating-logit-pairing-methods
  Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]
  ☆19Updated 6 years ago