Alternatives and similar repositories for gps-augment

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

• Randl / kmeans_selfsuper
  ☆54Updated 3 years ago
• ermongroup / NDA
  ☆24Updated 3 years ago
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆39Updated 4 years ago
• hankook / AugSelf
  ☆45Updated 3 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• jramapuram / BYOL
  Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.
  ☆28Updated 2 years ago
• VITA-Group / AugMax
  [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…
  ☆125Updated 3 years ago
• facebookresearch / augmentation-corruption
  This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".
  ☆45Updated 2 years ago
• amodas / PRIME-augmentations
  PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
  ☆42Updated 2 years ago
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆69Updated 2 years ago
• cvl-umass / semi-inat-2021
  Semi-Supervised Fine-Grained Recognition Challenge at FGVC8
  ☆26Updated 3 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 3 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 3 years ago
• elad-amrani / self-classifier
  PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022
  ☆48Updated 2 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated 10 months ago
• UMBCvision / MSF
  Official code for "Mean Shift for Self-Supervised Learning"
  ☆56Updated 3 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 2 years ago
• GT-RIPL / DomainGeneralization-Stylization
  PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization
  ☆24Updated 4 years ago
• youngminPIL / AutoLR
  AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
  ☆16Updated 4 years ago
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆89Updated 3 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆36Updated last year
• yukimasano / single_img_pretraining
  Code for generating a single image pretraining dataset
  ☆13Updated 3 years ago
• bamps53 / SeesawLoss
  ☆26Updated 4 years ago
• islamamirul / shape_texture_neuron
  ☆19Updated 3 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆94Updated 4 years ago
• szq0214 / CMC_with_Image_Mixture
  pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…
  ☆18Updated 5 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 2 years ago
• moskomule / mixup.pytorch
  an implementation of mixup
  ☆41Updated 4 years ago