Pipeline training and inference Anomalib models UI in Anomaly Detection

Unoficial FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Anomaly detection related books, papers, videos, and toolboxes

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

This is an official PyTorch implementation for "MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images" (MuSc ICLR2024).

PyTorch code and models for the DINOv2 self-supervised learning method.

[CVPR2024 Highlight] Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

Diffusion Model-Based Image Editing: A Survey (TPAMI 2025)

defect detection algorithm

deep learning for image processing including classification and object-detection etc.

[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

Vision Transformer (ViT) in PyTorch

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

(CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)

python 3 pytorch implementation of DANN

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

A curated list of awesome anomaly detection resources

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Latex code for making neural networks diagrams

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Implementation of Non-local Block.

Residual Attention Network for Image Classification

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.