Alternatives and similar repositories for Stylized-ImageNet

Users that are interested in Stylized-ImageNet are comparing it to the libraries listed below

• rgeirhos / texture-vs-shape
  Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…
  ☆798Updated 2 years ago
• bethgelab / stylize-datasets
  A script that applies the AdaIN style transfer method to arbitrary datasets
  ☆159Updated 3 years ago
• wielandbrendel / bag-of-local-features-models
  Pretrained bag-of-local-features neural networks
  ☆312Updated 5 years ago
• facebookresearch / TorchRay
  Understanding Deep Networks via Extremal Perturbations and Smooth Masks
  ☆344Updated 4 years ago
• facebookresearch / fair_self_supervision_benchmark
  Scaling and Benchmarking Self-Supervised Visual Representation Learning
  ☆586Updated 3 years ago
• facebookresearch / ImageNet-Adversarial-Training
  ImageNet classifier with state-of-the-art adversarial robustness
  ☆684Updated 5 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆989Updated this week
• davidbau / dissect
  Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…
  ☆303Updated 4 years ago
• gidariss / FeatureLearningRotNet
  ☆518Updated last year
• CSAILVision / NetDissect-Lite
  Light version of Network Dissection for Quantifying Interpretability of Networks
  ☆217Updated 6 years ago
• hendrycks / robustness
  Corruption and Perturbation Robustness (ICLR 2019)
  ☆1,077Updated 2 years ago
• uoguelph-mlrg / Cutout
  2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
  ☆549Updated 5 years ago
• google-research / task_adaptation
  ☆326Updated last month
• xternalz / WideResNet-pytorch
  Wide Residual Networks (WideResNets) in PyTorch
  ☆339Updated 4 years ago
• joe-siyuan-qiao / WeightStandardization
  Standardizing weights to accelerate micro-batch training
  ☆548Updated 3 years ago
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆349Updated last month
• facebookresearch / odin
  A simple and effective method for detecting out-of-distribution images in neural networks.
  ☆536Updated 3 years ago
• ildoonet / pytorch-randaugment
  Unofficial PyTorch Reimplementation of RandAugment.
  ☆636Updated 2 years ago
• kazuto1011 / grad-cam-pytorch
  PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
  ☆796Updated 5 years ago
• utkuozbulak / pytorch-cnn-adversarial-attacks
  Pytorch implementation of convolutional neural network adversarial attack techniques
  ☆358Updated 6 years ago
• GabPrato / batch-transforms
  Batch equivalent of PyTorch Transforms.
  ☆38Updated 3 years ago
• naver-ai / relabel_imagenet
  ☆403Updated 2 years ago
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆400Updated 4 years ago
• yaoyao-liu / mini-imagenet-tools
  Tools for generating mini-ImageNet dataset and processing batches
  ☆447Updated 4 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆494Updated last year
• bethgelab / imagecorruptions
  Python package to corrupt arbitrary images.
  ☆435Updated 3 weeks ago
• ecs-vlc / FMix
  Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
  ☆336Updated 4 years ago
• google / revisiting-self-supervised
  ☆352Updated 5 years ago
• shelfwise / receptivefield
  Gradient based receptive field estimation for Convolutional Neural Networks
  ☆339Updated 5 years ago
• facebookresearch / semi-supervised-ImageNet1K-models
  Semi-supervised ImageNet1K models
  ☆243Updated 5 years ago