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Dataset HF card, and project's GitHub repository. [394] Diggelmann et al. Climate News dataset A dataset for NLP and climate change media researchers The dataset is made up of a number of data artifacts (JSON, JSONL & CSV text files & SQLite database) Climate news DB, Project's GitHub repository [395] ADGEfficiency Climatext
Shogun is a free, open-source machine learning software library written in C++. It offers numerous algorithms and data structures for machine learning problems. It offers interfaces for Octave, Python, R, Java, Lua, Ruby and C# using SWIG. It is licensed under the terms of the GNU General Public License version 3 or later.
DVC is designed to incorporate the best practices of software development [10] into Machine Learning workflows. [11] It does this by extending the traditional software tool Git by cloud storages for datasets and Machine Learning models. [12] Specifically, DVC makes Machine Learning operations:
AIJR Preprints is an open-access Indian preprint repository which is indexed in Europe PMC [1] and listed in OpenDOAR [2] >100 2020 AIJR Publisher: AAS Open Research: Multidisciplinary: At least one of the authors must be affiliated with the African Academy of Sciences >100 2018 African Academy of Sciences & F1000 Research Ltd: AMRC Open ...
GitHub: GitHub, Inc. (A subsidiary of Microsoft Corporation) 2008-04 No Yes Unknown Denies service to Crimea, North Korea, Sudan, Syria [9] List of government takedown requests. GitLab: GitLab Inc. 2011-09 [10] Partial [11] Yes [12] GitLab FOSS – free software GitLab Enterprise Edition (EE) – proprietary
Bitbucket Server (formerly known as Stash [18]) is a combination Git server and web interface product written in Java and built with Apache Maven. [19] It allows users to do basic Git operations (such as reviewing or merging code, similar to GitHub ) while controlling read and write access to the code.
Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]