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AI Data & Analytics

Explore AI tools for data extraction, analysis and structured information workflows. Compare official resources, requirements and limitations.

133 projects

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AI Data & Analytics projects

I Imglab Imglab is a browser-based application for annotating images with object shapes and feature points, then exporting labeled data for dlib and other object detectors. It supports dlib XML and pts, Pascal VOC, and COCO formats.

P Pm4Py PM4Py is an open-source Python library that provides process-mining algorithms to analyze and explore business-process data.

G Grf Grf is an open-source R package for forest-based statistical estimation and inference, including heterogeneous treatment-effect estimation, regression and survival analysis.

N Nvtabular NVTabular is an open-source Python library for feature engineering and preprocessing tabular data, designed to manipulate terabyte-scale datasets for deep-learning recommender systems.

F Functime Functime is an open-source Python library for global forecasting and time-series feature extraction on large panel datasets. It uses Polars lazy transforms and includes preprocessing, cross-validation splitters and forecast metrics.

S Spotlight Spotlight is an open-source Python developer tool that turns dataframe-based unstructured datasets into interactive browser views for exploring examples, patterns and model-related data.

Label Studio Label Studio is an open-source data-labeling and AI-evaluation application for annotating multimodal datasets, collecting human feedback on AI outputs, and organizing review workflows such as model comparisons and benchmarks.

Zeppelin Zeppelin is a web-based notebook for interactive data analytics and collaborative documents. It connects notebook work to SQL, Scala, Python, R and other interpreters, and includes data visualization capabilities.