具有自适应动态协议的线性多智能体系统的分布式一致性

Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".

Code for "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"

Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'

The repository contains the official implementation of "Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation"

PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker/Zotero

swcr：软件著作权程序鉴别材料（即源代码文件）生成器

中国版权保护中心 软件著作权申请教程

ReFLIP-VAD: Towards Weakly Supervised Video Anomaly Detection via Vision-Language Model

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

The official GitHub page for the survey paper "A Survey of Large Language Models".

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

Anomaly detection related books, papers, videos, and toolboxes

Image anomaly detection benchmark in industrial manufacturing

CVPR 2025 论文和开源项目合集

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

3D Visualization of an GPT-style LLM

aider is AI pair programming in your terminal

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

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

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

to prediction the remain useful life of bearing based on 2012 PHM data

In this enhanced deep LSTM approach, clustering is performed for all collected sensors data and operational monitoring information, using Gaussian distributions. These Gaussian mixtures clustering …