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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Tools for exploratory data analysis in Python.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Functions and data dependencies for loading various word embeddings.
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Clojure Data Visualisation library, based on Statistiker and D3.
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DALI is a dataset of synchronised audio, lyrics and vocal notes, presented as a collection of gz files. A Python package, dali_code, is stored in the repository for reading and working with the data; release versions are installable via pip. The dataset was created automatically using a teacher-student machine learning paradigm, described in an ISMIR 2018 paper.
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Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Intake is a lightweight package for finding, investigating, loading, and disseminating data. It is hosted on GitHub at https://github.com/intake/intake. The repository includes documentation, installation instructions, development guidelines, and support information.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Knowledge Repo is a next-generation curated knowledge sharing platform designed for data scientists and other technical professionals. It is maintained as a public open source repository on GitHub under the Airbnb organization.
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Modern columnar data format for ML implemented in Rust.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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LinkScope is online investigation software that represents information as discrete entities, connects related data via resolution functions to build knowledge graphs, and helps users extract insights from online data. It offers graph visualisation, drag-and-drop data entry, event timelines, browser tab import, location mapping, and extensible functionality. A server version supports live project collaboration, text extraction from over 100 document types, content summarization, and context-aware Q&A about project data. Installers are available for Ubuntu 22.04 and Windows 11, though the SFDP graph layout is not functional on Windows.
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Lux is a Python library for automated data exploration. When a pandas dataframe is printed in a Jupyter notebook, Lux recommends a set of visualizations highlighting trends and patterns, shown in an interactive widget for browsing and exploring the dataset.
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Marquez is an open source metadata service for collecting, aggregating and visualizing a data ecosystem's metadata. It maintains provenance of how datasets are consumed and produced and provides visibility into job runtime and dataset access. Metadata is collected via OpenLineage, and a web UI shows job and dataset dependencies through a lineage graph.
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Mars is an open source tensor-based unified framework for large-scale data computation. It scales numpy, pandas and scikit-learn, offering tensor, DataFrame and learn interfaces that resemble the original libraries. A session can be started locally or connected to an existing Mars cluster.
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MeTA is a modern C++ data sciences toolkit. It provides text tokenization including deep semantic features like parse trees, inverted and forward indexes with compression and caching strategies, ranking functions for searching indexes, topic models, classification algorithms, graph algorithms, language models, a CRF implementation for POS-tagging and shallow parsing, and wrappers for liblinear and libsvm.
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Analyzes structured data and helps produce queries, insights or visualizations.
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ModelDB is an open-source system for versioning machine learning models, including their code, data, config and environment, and for tracking ML metadata across the model lifecycle. It supports reproducible models, experiment management and lifecycle tracking. It runs on Docker and Kubernetes, offers Python and Scala clients, and is maintained by Verta.ai.
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Algorithm capable of fully capturing the impact of data drift on performance.