Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Ad_examples	738	2 years ago	2	mit	Python
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.
Lstm Autoencoders	134	2 years ago	6	mit	Python
Anomaly detection for streaming data using autoencoders
Streaming Source Separation	11	4 years ago			Python
Streaming source separation for music and speech files, using the Open-Unmix LSTM architecture.

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Ad_examples ⭐ 738

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.

most recent commit 2 years ago

Lstm Autoencoders ⭐ 134

Anomaly detection for streaming data using autoencoders

most recent commit 2 years ago

Streaming Source Separation ⭐ 11

Streaming source separation for music and speech files, using the Open-Unmix LSTM architecture.

most recent commit 4 years ago

Suggest An Alternative To LSTM-Autoencoders

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