Alternatives and similar repositories for nap-ood:

Users that are interested in nap-ood are comparing it to the libraries listed below

• ycfate / ID-like
  ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
  ☆23Updated 11 months ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆53Updated 3 years ago
• deeplearning-wisc / siren
  source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"
  ☆32Updated last year
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆40Updated 3 years ago
• HAIV-Lab / SSIAT
  CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
  ☆23Updated 11 months ago
• zjysteven / MixOE
  [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
  ☆27Updated 2 years ago
• muse1998 / Source-Free-Domain-Generalization
  An open-world scenario domain generalization code base
  ☆26Updated 2 years ago
• AtsuMiyai / Awesome-OOD-VLM
  Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, arXiv2024]
  ☆84Updated 2 months 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
• robin-chan / meta-ood
  ☆46Updated 3 years ago
• michiganleon / ReCLIP_WACV
  ☆14Updated last year
• deeplearning-wisc / opencon
  Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"
  ☆36Updated last year
• HotanLee / DeFT
  The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors
  ☆15Updated 3 weeks ago
• 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 last year
• SakurajimaMaiii / TSD
  [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation
  ☆48Updated 3 weeks ago
• Gorilla-Lab-SCUT / TTAC
  [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
  ☆47Updated last year
• hongxin001 / ODNL
  Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)
  ☆20Updated 2 years ago
• SUSI-Lab / Awesome-Continual-Test-Time-Adaptation
  ☆28Updated 6 months ago
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• Jun-CEN / Unified-Open-Set-Recognition
  [ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
  ☆30Updated 2 years ago
• xialeiliu / Long-Tailed-CIL
  ☆48Updated 2 years ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆53Updated last year
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆24Updated last year
• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆20Updated 7 months ago
• tmlr-group / DAL
  [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"
  ☆12Updated last year
• BIT-DA / RoTTA
  [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899
  ☆60Updated last year
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆62Updated 3 months ago
• nayeemrizve / TRSSL
  "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
  ☆41Updated 2 years ago
• sumyeongahn / CUDA_LTR
  Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)
  ☆21Updated last year
• XueJiang16 / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆26Updated 6 months ago