Alternatives and similar repositories for reassessed-imagenet

Users that are interested in reassessed-imagenet are comparing it to the libraries listed below

• hirokatsukataoka16 / FractalDB-Pretrained-ResNet-PyTorch
  Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)
  ☆212Updated 3 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆94Updated 4 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 3 years ago
• modestyachts / ImageNetV2
  A new test set for ImageNet
  ☆257Updated 2 years ago
• libffcv / ffcv-imagenet
  Train ImageNet *fast* in 500 lines of code with FFCV
  ☆149Updated last year
• yukimasano / PASS
  The PASS dataset: pretrained models and how to get the data
  ☆266Updated 3 years ago
• benjs / nfnets_pytorch
  Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
  ☆160Updated 4 years ago
• yechengxi / deconvolution
  ☆182Updated 2 years ago
• naver-ai / relabel_imagenet
  ☆403Updated 3 years ago
• facebookresearch / semi-supervised-ImageNet1K-models
  Semi-supervised ImageNet1K models
  ☆245Updated 5 years ago
• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆122Updated 4 years ago
• pabloppp / pytorch-tools
  Useful PyTorch functions and modules that are not implemented in PyTorch by default
  ☆187Updated last year
• princetonvisualai / revise-tool
  REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
  ☆110Updated 3 years ago
• hendrycks / imagenet-r
  ImageNet-R(endition) and DeepAugment (ICCV 2021)
  ☆275Updated 4 years ago
• facebookresearch / nds
  On Network Design Spaces for Visual Recognition
  ☆96Updated 5 years ago
• facebookresearch / SWAG
  Official repository for "Revisiting Weakly Supervised Pre-Training of Visual Perception Models". https://arxiv.org/abs/2201.08371.
  ☆180Updated 3 years ago
• lukemelas / do-you-even-need-attention
  Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)
  ☆486Updated 4 years ago
• facebookresearch / imagenetx
  understanding model mistakes with human annotations
  ☆106Updated 2 years ago
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆155Updated 6 years ago
• google-research / task_adaptation
  ☆334Updated 2 months ago
• MadryLab / backgrounds_challenge
  ☆141Updated 5 years ago
• allenai / hidden-networks
  ☆193Updated 4 years ago
• rmccorm4 / PyTorch-LMDB
  Scripts to work with LMDB + PyTorch for Imagenet training
  ☆59Updated 5 years ago
• kakaobrain / torchlars
  A LARS implementation in PyTorch
  ☆352Updated 5 years ago
• 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…
  ☆304Updated 4 years ago
• tonylins / simclr-converter
  A PyTorch converter for SimCLR checkpoints
  ☆109Updated 4 years ago
• fiveai / making-better-mistakes
  ☆70Updated 4 years ago
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆298Updated 2 weeks ago
• eminorhan / baby-vision
  Self-supervised learning through the eyes of a child
  ☆142Updated 4 years ago
• bethgelab / stylize-datasets
  A script that applies the AdaIN style transfer method to arbitrary datasets
  ☆161Updated 4 years ago