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DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]
List of GitHub repositories of the project: Red Hat Consulting This data is not pre-processed List of GitHub repositories of the project: Red Hat Communities of Practice This data is not pre-processed List of GitHub repositories of the project: Red Hat Partner Tech This data is not pre-processed List of GitHub repositories of the project
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
Environment for DeveLoping KDD-Applications Supported by Index-Structures is a similar project to Weka with a focus on cluster analysis, i.e., unsupervised methods. H2O.ai is an open-source data science and machine learning platform; KNIME is a machine learning and data mining software implemented in Java.
NASA WorldWind SDK Tutorial: This Tutorial was developed by the Institute for Geoinformatics from the University of Münster, Germany. It contains tutorials from setting up an Eclipse environment with the WorldWind API to building polygons from Linked Open Data geographic datasets. It contains important tips from beginners to advanced developers.
Unlike commits in data management, commits in version control systems are kept in the repository indefinitely. Thus, when other users do an update or a checkout from the repository, they will receive the latest committed version, unless they specify that they wish to retrieve a previous version of the source code in the repository. Version ...
DataLab: platform for creating self-service, exploratory data science environments in the cloud using best-of-breed data science tools; DevLake: development data platform, providing the data infrastructure for developer teams to analyze and improve their engineering productivity; HugeGraph: a large-scale and easy-to-use graph database
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.