Alternatives and similar repositories for FMix

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

• 4uiiurz1 / pytorch-auto-augment
  PyTorch implementation of AutoAugment.
  ☆159Updated 5 years ago
• PistonY / torch-toolbox
  🛠 Toolbox to extend PyTorch functionalities
  ☆420Updated last year
• Alibaba-MIIL / TResNet
  Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
  ☆475Updated 9 months ago
• Shaoli-Huang / SnapMix
  SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
  ☆128Updated 4 years ago
• ildoonet / cutmix
  a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
  ☆170Updated 2 years ago
• facebookresearch / semi-supervised-ImageNet1K-models
  Semi-supervised ImageNet1K models
  ☆244Updated 5 years ago
• FishYuLi / BalancedGroupSoftmax
  CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.
  ☆355Updated 3 years ago
• miguelvr / dropblock
  Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
  ☆596Updated 5 years ago
• hysts / pytorch_cutmix
  A PyTorch implementation of CutMix
  ☆52Updated 6 years ago
• ZF4444 / MMAL-Net
  This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MM…
  ☆257Updated 4 years ago
• dvlab-research / GridMask
  ☆285Updated 5 years ago
• szq0214 / MEAL-V2
  MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
  ☆696Updated 3 years ago
• ildoonet / pytorch-randaugment
  Unofficial PyTorch Reimplementation of RandAugment.
  ☆635Updated 2 years ago
• idstcv / SoftTriple
  PyTorch Implementation for SoftTriple Loss
  ☆209Updated last year
• richardaecn / class-balanced-loss
  Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
  ☆612Updated 4 years ago
• Yonghongwei / Gradient-Centralization
  A New Optimization Technique for Deep Neural Networks
  ☆538Updated 3 years ago
• JunYeopLee / fast-autoaugment-efficientnet-pytorch
  A Pytorch implementation of Fast AutoAugment and EfficientNet
  ☆119Updated 6 years ago
• naver-ai / relabel_imagenet
  ☆402Updated 2 years ago
• narumiruna / efficientnet-pytorch
  A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
  ☆113Updated last week
• vandit15 / Class-balanced-loss-pytorch
  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
  ☆800Updated last year
• heartInsert / Randaugment
  an personal implementation about randaugment
  ☆77Updated last year
• d-li14 / octconv.pytorch
  PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
  ☆294Updated 5 years ago
• clovaai / rexnet
  Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
  ☆453Updated 3 years ago
• mlpanda / bi-tempered-loss-pytorch
  Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
  ☆62Updated 6 years ago
• iduta / iresnet
  Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
  ☆247Updated 3 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆988Updated 3 months ago
• google-research / noisystudent
  Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
  ☆763Updated 4 years ago
• vballoli / nfnets-pytorch
  NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
  ☆348Updated last year
• kobiso / Computer-Vision-Leaderboard
  Comparison of famous convolutional neural network models
  ☆325Updated 6 years ago
• shamangary / Pytorch-Stochastic-Depth-Resnet
  Pytorch Implementation of Deep Networks with Stochastic Depth
  ☆62Updated 6 years ago