Alternatives and similar repositories for Awesome-LLM-Anomaly-OOD-Detection

Users that are interested in Awesome-LLM-Anomaly-OOD-Detection are comparing it to the libraries listed below

• donghao51 / MultiOOD
  [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities
  ☆68Updated 6 months ago
• mala-lab / Awesome-Anomaly-Detection-Foundation-Models
  A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foun…
  ☆105Updated this week
• EnnengYang / Awesome-Forgetting-in-Deep-Learning
  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
  ☆333Updated 3 weeks ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆30Updated 6 months ago
• feifeiobama / Awesome-Continual-Learning
  A curated list of Continual Learning papers and BibTeX entries
  ☆197Updated last year
• zhangyikaii / Model-Spider
  The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
  ☆21Updated last year
• Yuheng2000 / Awesome-LoRA
  Awesome Low-Rank Adaptation
  ☆55Updated 3 months ago
• NOVAglow646 / OOD-Generalization-Paper-Reading-Notes
  OOD Generalization相关文章的阅读笔记
  ☆33Updated 11 months ago
• LucyDYu / Awesome-Multimodal-Continual-Learning
  ☆146Updated 11 months ago
• Minqi824 / WSAD
  A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)
  ☆175Updated 9 months ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• NeuroDong / Ai-Review
  Large language model review prompts
  ☆303Updated last week
• AtsuMiyai / Awesome-OOD-VLM
  Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, TMLR2025]
  ☆97Updated 5 months ago
• UNITES-Lab / Flex-MoE
  [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"
  ☆67Updated 5 months ago
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆51Updated 2 years ago
• ChengtaiCao / Awesome-Mix
  A curated list of awesome Mix
  ☆72Updated 2 years ago
• lywang3081 / Awesome-Continual-Learning
  A paper list of our recent survey on continual learning, and other useful resources in this field.
  ☆94Updated last year
• tmlr-group / BayesianLM
  [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"
  ☆12Updated 11 months ago
• donghao51 / Awesome-Multimodal-Adaptation
  Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
  ☆145Updated this week
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆124Updated last year
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆51Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆30Updated 2 years ago
• bitzhangcy / Deep-Learning-Based-Anomaly-Detection
  ☆339Updated last month
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆88Updated last year
• ruthless-man / Awesome-Learn-from-Model
  Awesome Learn From Model Beyond Fine-Tuning: A Survey
  ☆77Updated 11 months ago
• Westlake-AI / Awesome-Mixup
  [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)
  ☆159Updated last year
• SJTU-DMTai / awesome-ml-data-quality-papers
  Papers about training data quality management for ML models.
  ☆101Updated last month
• WNJXYK / DeCoOp
  ☆18Updated last year
• MengyuanChen21 / Awesome-Evidential-Deep-Learning
  A curated publication list on evidential deep learning.
  ☆149Updated 7 months ago
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆110Updated 2 years ago