Alternatives and similar repositories for online-augment

Users that are interested in online-augment are comparing it to the libraries listed below

• moskomule / mixup.pytorch
  an implementation of mixup
  ☆41Updated 5 years ago
• MECLabTUDA / Super_Selfish
  ☆93Updated 4 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• leaderj1001 / Mixed-Depthwise-Convolutional-Kernels
  Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch
  ☆62Updated 5 years ago
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆78Updated 3 years ago
• BayesWatch / pytorch-GENet
  A Pytorch implementation of https://arxiv.org/abs/1810.12348.
  ☆37Updated 6 years ago
• ankandrew / online-label-smoothing-pt
  Implementation of Online Label Smoothing in PyTorch
  ☆95Updated 2 years ago
• jramapuram / BYOL
  Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.
  ☆28Updated 2 years ago
• chenpf1025 / RobustnessAccuracy
  AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
  ☆23Updated 4 years ago
• cgnorthcutt / confidentlearning-reproduce
  Official data release to reproduce Confident Learning paper results
  ☆40Updated 3 years ago
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆60Updated 6 years ago
• alldbi / SuperMix
  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
  ☆92Updated 3 years ago
• densechen / AReLU
  AReLU: Attention-based-Rectified-Linear-Unit
  ☆62Updated 3 years ago
• leaderj1001 / Billion-scale-semi-supervised-learning
  Implementing Billion-scale semi-supervised learning for image classification using Pytorch
  ☆95Updated 6 years ago
• etetteh / sota-data-augmentation-and-optimizers
  This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CI…
  ☆29Updated 4 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆55Updated 4 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 3 years ago
• dizcza / lbcnn.pytorch
  PyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html
  ☆48Updated 5 years ago
• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆53Updated 4 years ago
• dwang181 / active-mixup
  Code for Active Mixup in 2020 CVPR
  ☆23Updated 3 years ago
• rosinality / vision-transformers-pytorch
  Implementation of various Vision Transformers I found interesting
  ☆84Updated 4 years ago
• katsura-jp / efficientnet-pytorch
  PyTorch implementation of "EfficientNet", ICML 2019
  ☆45Updated 6 years ago
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 5 years ago
• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆122Updated 3 years ago
• UMBCvision / fooling_network_interpretation
  Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
  ☆24Updated 5 years ago
• seominseok0429 / Learning-Loss-for-Active-Learning-Pytorch
  Learning Loss for Active Learning Pytorch Implementation,(reproduction)
  ☆32Updated 5 years ago
• czhang0528 / MosaicOS
  [ICCV 2021] MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
  ☆29Updated 3 years ago
• Randl / kmeans_selfsuper
  ☆54Updated 3 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆94Updated 4 years ago