# shubhomoydas/ad\_examples

<https://repo.masters-masters.com/en/repos/shubhomoydas/ad_examples>

[Home](https://repo.masters-masters.com/en) › [shubhomoydas](https://repo.masters-masters.com/en/owners/shubhomoydas) › [ad\_examples](https://repo.masters-masters.com/en/repos/shubhomoydas/ad_examples)

shubhomoydas/ad\_examples has 875 stars on GitHub. Its RepoMasters card: Beta tier. A collection of anomaly detection methods (iid/point-based, graph and time…

| Field | Value |
| --- | --- |
| Owner | [shubhomoydas](https://repo.masters-masters.com/en/owners/shubhomoydas) |
| Stars | 875 |
| Forks | 180 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | ensemble-learning, active-learning, anomaly-detection, rnn, lstm, explaination, interpretability, time-series, timeseries, trees |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [shubhomoydas/ad\_examples](https://github.com/shubhomoydas/ad_examples) |

## Repository

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…

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.