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Shubhomoy Das's Projects

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Implementation of Active Anomaly Discovery (AAD) in R

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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.

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Replace parts of DCGAN code (importantly, deconv with conv2d_grad_wrt_inputs) so that it runs without GPU

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Implementation of Active Anomaly Discovery (AAD) in Python

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Ranking with mixture of Plackett-Luce distributions

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A reinforcement learning class project for playing Tetris

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Some experiments with topic models, ranking, Plackett-Luce

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