2 repository-uri
Awesome GitHub RepositoriesAnomaly Distribution Plots
Visualizations specifically designed to show the spatial or statistical distribution of detected outliers relative to normal data.
Distinct from Statistical Distribution Visualizers: Focuses on identifying anomalies in data distributions, whereas Statistical Distribution Visualizers is a general-purpose charting category.
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Awesome Anomaly Distribution Plots GitHub Repositories
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- yzhao062/pyod
yzhao062/pyod
9,878Vezi pe GitHubPyOD is a Python anomaly detection library used to identify outliers in tabular, time series, graph, text, and image data. It provides a collection of algorithms for detecting anomalous data points and includes a unified detector interface that standardizes input and output signatures across its available detection algorithms. The project features a multi-modal outlier detector for identifying anomalies across diverse formats including unstructured text and images, as well as a specialized toolkit for graph-based and time-series anomaly detection. It includes an ensemble framework for combini
Generates graphical representations of training and testing data to show detected anomalies against original data points in the project.
Pythonagentic-aianomaly-detectiondata-mining - pair-code/facets
PAIR-code/facets
7,340Vezi pe GitHubFacets is a set of interactive software tools for the statistical analysis, distribution visualization, and multidimensional exploration of machine learning datasets. It provides a visual interface for identifying outliers and missing values in numeric and string data, specifically designed for auditing dataset quality and identifying skews between training and validation sets. The system uses multidimensional facet-based visualization and interactive bucketing to map individual data points across multiple feature axes. It employs synchronized view filtering and animated dimension transitions
Uses faceting and animation to reveal patterns and anomalies within large-scale dataset distributions.
Jupyter Notebook
