Alternatives and similar repositories for AHL:

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

• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆45Updated 6 months ago
• mala-lab / ADShift
  Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
  ☆31Updated last year
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆100Updated 5 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆97Updated 9 months ago
• Haoyan-Guan / CAReg
  ☆28Updated 10 months ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆50Updated 10 months ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆68Updated last year
• gasharper / PyramidFlow
  [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
  ☆61Updated last year
• hq-deng / AnoVL
  ☆50Updated last year
• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆16Updated 11 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆53Updated 4 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 5 months ago
• caiyuxuan1120 / DAF
  ☆29Updated last year
• zhangzilongc / MMR
  ☆82Updated last year
• lewandofskee / MambaAD
  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
  ☆167Updated last month
• FlappyPeggy / DMAD
  Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.
  ☆71Updated 6 months ago
• guojiajeremy / ReContrast
  ☆40Updated 9 months ago
• mala-lab / WinCLIP
  Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…
  ☆53Updated last year
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆87Updated 6 months ago
• FzJun26th / FastRecon
  ☆39Updated last year
• BMVC-FADE / BMVC-FADE
  Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".
  ☆24Updated 5 months ago
• TencentYoutuResearch / AnomalyDetection-SoftPatch
  Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
  ☆56Updated 9 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆43Updated 5 months ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆77Updated 2 months ago
• oopil / PSAD_logical_anomaly_detection
  ☆46Updated 2 months ago
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆37Updated last year
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆79Updated 6 months ago
• Choubo / DRA
  Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…
  ☆88Updated 3 years ago
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆57Updated last year
• FuNz-0 / PromptAD
  Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
  ☆144Updated 8 months ago