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mbsmgw's Projects

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

ais_vae icon ais_vae

Implementation of ais_vae and a demo of bearing degradation prediction based on Cincinnati dataset

dataset icon dataset

Hosting all datasets collected from various sources

rotating-machinery-fault-diagnosis-dataset icon rotating-machinery-fault-diagnosis-dataset

It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southeast University(SEU), University of Cincinnati(UC), University of Connecticut(UCONN), University of Paderborn,(UPB), Curtin University(CURTIN), and University of Ottawa(uOttawa).

seriesnet icon seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

soundsync icon soundsync

Virtual cables between any audio source and any speaker in your home

tusk icon tusk

Refined Evernote desktop app

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