{"repo":"Minqi824/ADBench","free":true,"listed":false,"github":"https://github.com/Minqi824/ADBench","clone":"git clone https://github.com/Minqi824/ADBench.git","description":"Official Implement of \"ADBench: Anomaly Detection Benchmark\", NeurIPS 2022.","language":"Python","stars":1020,"topics":["anomaly-detection","benchmark","data-mining","deep-learning","machine-learning","outlier-detection","semi-supervised-learning","supervised-learning","unsupervised-learning","data-sicence"],"license":"BSD-2-Clause","category":"machine-learning","readme_excerpt":"Official code and data repository of ADBench : Anomaly Detection Benchmark (NeurIPS 2022). Please star, watch, and fork ADBench for the active updates! Recent News: - ADBench has received 1000+⭐ in github! Thank you all! - ADBench has received 600+⭐ in github and released an official Python package📦 for a better user experience! Thank you all for your attention. Citing ADBench: Our ADBench benchmark paper is now available on arxiv and NeurIPS Proceedings. If you find this work useful or use some our released datasets, we would appreciate citations to the following paper: Who Are We? ✨ ADBench is a collaborative effort between researchers at Shanghai University of Finance and Economics (SUFE) and Carnegie Mellon University (CMU) . The project is designed and conducted by Minqi Jiang (SUFE) and Yue Zhao (CMU), and Xiyang Hu (CMU) --the author(s) of important anomaly detection libraries, including anomaly detection for tabular (PyOD), time-series (TODS), and graph data (PyGOD). The project is also maintained by Chaochuan Hou (SUFE). Why Do You Need ADBench? ADBench is (to our best knowledge) the most comprehensive tabular anomaly detection benchmark , where we analyze the performance of 30 anomaly detection algorithms on 57 datasets (where we introduced 10 new datasets). By analyzing both research needs and deployment requirements in industry, ADBench conducts 98,436 experiments with three major angles: 1. the effect of supervision (e.g., ground truth labels) by including 14 un","default_branch":null,"files":null,"tree":[],"storefront":"/r/Minqi824","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Minqi824/ADBench/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}