Alternatives and similar repositories for MoCo

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

• 2-Chae / PyTorch-tSNE
  ☆56Updated 4 years ago
• TencentYoutuResearch / Classification-SemiCLS
  Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”
  ☆98Updated 2 years ago
• FlamieZhu / Balanced-Contrastive-Learning
  Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”
  ☆113Updated 2 years ago
• mingkai-zheng / SimMatch
  SimMatch: Semi-supervised Learning with Similarity Matching
  ☆93Updated last year
• Hzzone / ProPos
  Self-Supervised Learning for Deep Clustering (TPAMI 2022)
  ☆110Updated 2 years ago
• NaJaeMin92 / FixBi
  Official code for the CVPR 2021 paper "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation"
  ☆66Updated 3 years ago
• MehdiZouitine / Learning-Disentangled-Representations-via-Mutual-Information-Estimation
  Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
  ☆82Updated 3 years ago
• ynu-yangpeng / GLMC
  [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
  ☆76Updated last year
• zhengzangw / PCS-FUDA
  Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"
  ☆106Updated 4 years ago
• dvlab-research / Parametric-Contrastive-Learning
  Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
  ☆253Updated 9 months ago
• hanmenghan / TMC
  The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]
  ☆262Updated 9 months ago
• driptaRC / DECISION
  Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
  ☆58Updated 3 years ago
• BIT-DA / CIRL
  [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"
  ☆152Updated 2 years ago
• lixiaotong97 / DSU
  [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …
  ☆159Updated 3 years ago
• mingkai-zheng / WCL
  Weakly Supervised Contrastive Learning
  ☆41Updated 3 years ago
• alinlab / PsCo
  Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
  ☆56Updated last year
• wildphoton / RandConv
  Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"
  ☆67Updated 4 years ago
• Hzzone / TCL
  Twin Contrastive Learning with Noisy Labels (CVPR 2023)
  ☆70Updated last year
• sungnyun / understanding-cdfsl
  (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
  ☆34Updated last year
• salesforce / CoMatch
  Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
  ☆127Updated 2 months ago
• NWPUZhoufei / LDP-Net
  ☆43Updated 2 years ago
• liujiyuan13 / MAE-code
  Pytorch implementation of Masked Auto-Encoder
  ☆40Updated 3 years ago
• lblaoke / TLC
  PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)
  ☆61Updated last year
• DequanWang / tent
  ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization
  ☆414Updated 4 years ago
• tim-learn / SHOT-plus
  code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
  ☆119Updated 2 years ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆191Updated last year
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆128Updated 2 years ago
• DianCh / AdaContrast
  Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
  ☆102Updated 3 years ago
• xiaoachen98 / DALN
  [CVPR2022] Official implementation of DALN.
  ☆86Updated 2 years ago
• nazmul-karim170 / UNICON
  [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…
  ☆62Updated 9 months ago