Alternatives and similar repositories for CoSDA:

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

• Albert0147 / NRC_SFDA
  Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
  ☆76Updated 2 years ago
• Albert0147 / AaD_SFDA
  Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
  ☆69Updated 4 months ago
• Hongbin98 / ProCA
  This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …
  ☆32Updated 2 years ago
• yfzhang114 / Environment-Label-Smoothing
  This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…
  ☆59Updated 2 years ago
• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆97Updated 3 years ago
• Liuhong99 / CST
  Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
  ☆53Updated 3 years ago
• Albert0147 / OneRing_SF-OPDA
  Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'
  ☆34Updated 2 years ago
• tim-learn / DINE
  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
  ☆79Updated last year
• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆28Updated 2 years ago
• ZyeZhang / DaC
  Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).
  ☆42Updated 2 years ago
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆48Updated last year
• Luoyadan / SF-PGL
  This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…
  ☆24Updated last year
• DianCh / AdaContrast
  Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
  ☆97Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆86Updated 11 months ago
• zzwdx / MEDIC
  ☆21Updated last year
• Learning-group123 / CAiDA
  Code for CAiDA
  ☆23Updated 2 years ago
• BIT-DA / RoTTA
  [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899
  ☆59Updated last year
• korawat-tanwisuth / Proto_DA
  ☆45Updated 3 years ago
• koncle / DomainAdaptor
  ☆42Updated last year
• BIT-DA / SCDA
  [ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"
  ☆22Updated 3 years ago
• zwvews / LADG
  code for our paper localized adversarial domain generalization
  ☆14Updated 2 years ago
• YuheD / ProxyMix
  NN 2023
  ☆21Updated 2 years ago
• lingeringlight / DomainDrop
  The official implementation for DomainDrop (ICCV 2023).
  ☆48Updated last year
• nayeemrizve / TRSSL
  "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
  ☆40Updated 2 years ago
• zhyx12 / CRCo
  ☆34Updated 2 years ago
• szubing / uniood
  A code framework for implementing UniDA
  ☆24Updated last year
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆51Updated 2 years ago
• lucasmansilla / DGvGS
  Domain Generalization via Gradient Surgery
  ☆50Updated 2 years ago
• MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation
  Code for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)
  ☆95Updated 2 years ago
• SCUT-AILab / CPGA
  ☆48Updated last year