Alternatives and similar repositories for MODE

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

• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆100Updated 3 years ago
• liangchen527 / ITTA
  Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"
  ☆35Updated 6 months ago
• yulearningg / LRDG
  Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022
  ☆26Updated 2 years ago
• zhangmarvin / memo
  ☆67Updated 2 years ago
• ZFancy / Unleashing-Mask
  [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
  ☆18Updated 2 years ago
• QizhouWang / DOE
  ☆26Updated 2 years ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆121Updated last year
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆80Updated last year
• ml-stat-Sustech / CLIP_Calibration
  [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP
  ☆15Updated last year
• Wang-pengfei / SAGM
  The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization
  ☆75Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆128Updated 2 years ago
• mingukjang / TAST
  Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23
  ☆23Updated 2 years ago
• BUserName / Learning_to_diversify
  ☆93Updated 3 years ago
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆52Updated last year
• changwxx / CSOT-for-LNL
  Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
  ☆18Updated last year
• Albert0147 / AaD_SFDA
  Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
  ☆73Updated 8 months ago
• mousecpn / L2A-OT
  This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization
  ☆23Updated 3 years ago
• Jhyun17 / DeYO
  ☆23Updated last year
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆85Updated last year
• G-U-N / ICLR23-BEEF
  The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.
  ☆17Updated 2 years ago
• DianCh / AdaContrast
  Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
  ☆102Updated 3 years ago
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆41Updated last year
• BIT-DA / RoTTA
  [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899
  ☆65Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• tim-learn / DINE
  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
  ☆81Updated last year
• Gorilla-Lab-SCUT / UB2DA
  This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.
  ☆10Updated 3 years ago
• koncle / DomainAdaptor
  ☆44Updated last year
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆45Updated 2 years ago
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆36Updated 2 years ago