Alternatives and similar repositories for MoPro

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

• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆105Updated 4 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 2 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆98Updated last year
• xiangjjj / implicit_alignment
  Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"
  ☆90Updated 4 years ago
• frank-xwang / CLD-UnsupervisedLearning
  [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."
  ☆101Updated 3 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆37Updated 3 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 4 years ago
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆29Updated 4 years ago
• hbdat / cvpr20_LESA
  Shared Attention for Multi-label Zero-shot Learning accepted @ CVPR20
  ☆32Updated 3 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
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• ShaoTengLiu / Hyperbolic_ZSL
  Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)
  ☆79Updated 2 years ago
• dnap512 / SelfReg
  PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
  ☆77Updated 3 years ago
• maple-research-lab / CLSA
  official implemntation for "Contrastive Learning with Stronger Augmentations"
  ☆58Updated 3 years ago
• thuml / CoTuning
  Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
  ☆40Updated 3 years ago
• ydkim1293 / NLNL-Negative-Learning-for-Noisy-Labels
  NLNL: Negative Learning for Noisy Labels
  ☆104Updated 5 years ago
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆62Updated 3 years ago
• istarjun / TapNet
  Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
  ☆56Updated 5 years ago
• dvlab-research / MiSLAS
  Improving Calibration for Long-Tailed Recognition (CVPR2021)
  ☆148Updated 3 years ago
• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆105Updated 4 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• xingruiyu / coteaching_plus
  ICML'19 How does Disagreement Help Generalization against Label Corruption?
  ☆85Updated 6 years ago
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 4 years ago
• hbdat / cvpr20_IMCL
  Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20
  ☆22Updated 3 years ago
• ContrastToDivide / C2D
  PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
  ☆71Updated 4 years ago
• google-research / remixmatch
  ☆129Updated 2 years ago
• Wangt-CN / CaaM
  [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition
  ☆79Updated last year
• perrying / pytorch-consistency-regularization
  PyTorch implementation of consistency regularization methods for semi-supervised learning
  ☆78Updated 4 years ago