Alternatives and similar repositories for Imagenet32_Scripts

Users that are interested in Imagenet32_Scripts are comparing it to the libraries listed below

• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆244Updated 4 years ago
• modestyachts / CIFAR-10.1
  Release of CIFAR-10.1, a new test set for CIFAR-10.
  ☆223Updated 5 years ago
• xternalz / WideResNet-pytorch
  Wide Residual Networks (WideResNets) in PyTorch
  ☆341Updated 4 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆58Updated 5 years ago
• polo5 / ZeroShotKnowledgeTransfer
  Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
  ☆143Updated 5 years ago
• Tushar-N / blockdrop
  BlockDrop: Dynamic Inference Paths in Residual Networks
  ☆142Updated 2 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆202Updated 8 years ago
• yeshaokai / Robustness-Aware-Pruning-ADMM
  Code release for "Adversarial Robustness vs Model Compression, or Both?"
  ☆91Updated 4 years ago
• a1600012888 / YOPO-You-Only-Propagate-Once
  Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
  ☆177Updated last year
• MadryLab / robust_representations
  Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"
  ☆162Updated 5 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆86Updated 8 years ago
• rgeirhos / generalisation-humans-DNNs
  Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
  ☆96Updated 2 years ago
• anokland / local-loss
  PyTorch code for training neural networks without global back-propagation
  ☆165Updated 5 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆39Updated 7 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆91Updated 2 years ago
• CSAILVision / NetDissect-Lite
  Light version of Network Dissection for Quantifying Interpretability of Networks
  ☆218Updated 6 years ago
• TropComplique / image-classification-caltech-256
  Exploring CNNs and model quantization on Caltech-256 dataset
  ☆85Updated 7 years ago
• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆35Updated 7 years ago
• andreasveit / convnet-aig
  PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs
  ☆185Updated 6 years ago
• arunmallya / packnet
  Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
  ☆237Updated 6 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• Cysu / noisy_label
  Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"
  ☆119Updated 6 years ago
• ppwwyyxx / GroupNorm-reproduce
  An official collection of code in different frameworks that reproduces experiments in "Group Normalization"
  ☆117Updated 4 years ago
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆186Updated 4 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆129Updated 3 years ago
• max-andr / relu_networks_overconfident
  Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]
  ☆185Updated 6 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 6 years ago
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆105Updated 5 years ago