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

Results 22 ADBench issues
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Thanks for the great job! I wonder if it's possible to provide the link/source of the dataset so we can know more about them? Thanks a lot.

enhancement

May I ask if you have considered making it into an integrated library in the future? Thanks!

Data sets with 50% anomalies are not anomaly detection! More data sets does not mean more meaningful results, because "garbage in, garbage out". One of the big problems with current...

Great and Enormours Work! Do we have paralle computing setting to process large-scale data? Cause in reality, big data condition is more common and difficult.

It there going to be a platform so I can evaluate my method on it?

Shall we add a setup.py to ensure that all the dependency are installed? I needed to install it.

Hello, I am trying to replicate the demo notebook but using a different open source data. I am getting keyerror. I have tried changing the data as well and have...

Hi, I am a little new to Anomaly detection but I was curious about what is the right way to do cross validation while using ADBench as the test and...

I am getting errors when running synthetic dependency anomalies for multiple datasets. I found this remark in data_generator.py "# we found that copula function may occur error in some datasets"....

下载模型时报错 : PS D:\PyCharm> git clone https://github.com/Minqi824/ADBench.git Cloning into 'ADBench'... remote: Enumerating objects: 1074, done. remote: Counting objects: 100% (189/189), done. remote: Compressing objects: 100% (94/94), done. error: RPC failed;...