Alternatives and similar repositories for CoPA

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

• Aboriginer / EOE
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
  ☆15Updated 8 months ago
• Aboriginer / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆16Updated 8 months ago
• tmlr-group / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆12Updated 8 months ago
• 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 3 years ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆29Updated 2 years ago
• warriors-30 / SFAT-paddle
  ☆24Updated 2 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• ZFancy / Unleashing-Mask
  [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
  ☆18Updated 2 years ago
• tmlr-group / EOE
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
  ☆12Updated 8 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆94Updated last year
• tmlr-group / BayesianLM
  [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"
  ☆11Updated 10 months ago
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆31Updated last year
• ml-stat-Sustech / CLIP_Calibration
  [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP
  ☆15Updated last year
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆82Updated last year
• zhangmarvin / memo
  ☆68Updated 2 years ago
• zzp1012 / Cross-Task-Linearity
  [ICML 2024] Code release for "On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm"
  ☆11Updated 8 months ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆123Updated last year
• jkatzsam / woods_ood
  ☆16Updated 3 years ago
• TomSheng21 / tta-vlm
  [NeurIPS 2025 Datasets & Benchmarks Track] The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
  ☆22Updated this week
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated 2 years ago
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆87Updated 11 months ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆25Updated 2 years ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆63Updated 2 years ago
• ningkp / LfOSA
  ☆19Updated 3 years ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆51Updated 2 years ago
• deeplearning-wisc / scone
  ☆10Updated last year
• Haoqing-Wang / FORT
  [NeurIPS 2023] Focus Your Attention when Few-Shot Classification
  ☆18Updated last year
• elaine-sui / TPS
  ☆20Updated last year