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.

Time-Series Anomaly Detection Comprehensive Benchmark

WPS: An Effective WGAN-based Anomaly Detection Model for loT Multivariate Time Series Published on Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023: Advances in Knowledge …

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Library for detecting anomalies in signals

The implement of An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection

KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

Multivariate Anomaly Detection with GAN (MAD-GAN) PyTorch modern implementation.

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

这是一个yolox-pytorch的源码，可以用于训练自己的模型。

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

Pytorch implementation for t-SNE with cuda to accelerate

Python Wrapper for t-SNE Visualization

Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

A collection of datasets for RUL estimation as Lightning Data Modules.

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A Hassle-Free Way to Self-Host Google Fonts. Get eot, ttf, svg, woff and woff2 files + CSS snippets

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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Base on YOLOv5 Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful l…