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 6 years ago
• AhmedFrikha / ARCADe-A-Rapid-Continual-Anomaly-Detector
  A Meta-Learning Approach for Continual Anomaly Detection
  ☆11Updated 4 years ago
• yli96 / DSEBM
  Deep Structured Energy Based Model
  ☆11Updated 7 years ago
• ritheshkumar95 / pytorch-normalizing-flows
  ☆17Updated 7 years ago
• hendrycks / fooling
  Code for the Adversarial Image Detectors and a Saliency Map
  ☆12Updated 8 years ago
• rhythm92 / Unsupervised-Pixel-Level-Domain-Adaptation-with-GAN
  Implementation of Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks by Google
  ☆16Updated 8 years ago
• haseebs / Pseudo-rehearsal-Incremental-Learning
  Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"
  ☆14Updated 6 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
• CW-Huang / HIWAE
  code for hierarchical importance weighted autoencoders
  ☆11Updated 6 years ago
• vita-epfl / collaborative-gan-sampling
  [AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
  ☆24Updated 5 years ago
• usc599resl / mlgm
  Meta learning for generative models.
  ☆16Updated 5 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 years ago
• yk / icml19_public
  ☆22Updated 4 years ago
• m-serra / action-inference-for-video-prediction-benchmarking
  Evaluating video predictions from the standpoint of a robot making action decisions
  ☆13Updated 5 years ago
• matthewwicker / StatisticalGuarenteesForBNNs
  Repository containing code for getting statistical guarantees on properties of BNNs
  ☆13Updated 6 years ago
• gukyeongkwon / gradcon-anomaly
  Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection".
  ☆9Updated last year
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆19Updated 6 years ago
• mabirck / adaptative-dropout-pytorch
  Pytorch implementation of Adaptative Dropout a.ka Standout.
  ☆12Updated 7 years ago
• zhibinliao89 / fisher.info.mat.torch
  ☆12Updated 6 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 7 years ago
• MGoibert / Label_smoothing
  Code for the paper Adversarial Robustness via Adversarial Label-Smoothing
  ☆11Updated 5 years ago
• skolouri / swgmm
  Sliced Wasserstein Distance for Learning Gaussian Mixture Models
  ☆63Updated 2 years ago
• YunseokJANG / l2l-da
  Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks
  ☆22Updated 3 years ago
• pawni / BayesByHypernet_Pytorch
  ☆10Updated 5 years ago
• dusenberrymw / mixture-density-networks
  An exploration of mixture density networks
  ☆35Updated 7 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 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
• simplespy / SCAN-from-betaVAE
  Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆21Updated 7 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago