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Accord.NET — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Accord.NET
License (as archived): CC-BY-SA-4.0
Archived: 2026-11-07T10:13:39.547Z
SHA-256 of the archived text: cd34fd80c8c46aac802c3ece9ca7a0f020708ce2385501481adb34dec4754deb
Stable URL of this page: https://metraipolis.com/documento/dc_905f3dfd2867

How to cite

Accord.NET — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Accord.NET (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_905f3dfd2867 (Metraipolis archive dc_905f3dfd2867, sha256 cd34fd80c8c46aac802c3ece9ca7a0f020708ce2385501481adb34dec4754deb)

BibTeX

@misc{dc905f3dfd2867,
  title = {Accord.NET — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Accord.NET},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_905f3dfd2867; sha256 cd34fd80c8c46aac802c3ece9ca7a0f020708ce2385501481adb34dec4754deb},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Accord.NET. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Accord.NET is a framework for scientific computing in .NET. The source code of the project is available under the terms of the Gnu Lesser Public License, version 2.1. The framework comprises a set of libraries that are available in source code as well as via executable installers and NuGet packages. The main areas covered include numerical linear algebra, numerical optimization, statistics, machine learning, artificial neural networks, signal and image processing, and support libraries (such as graph plotting and visualization). The project was originally created to extend the capabilities of the AForge.NET Framework, but has since incorporated AForge.NET inside itself. Newer releases have united both frameworks under the Accord.NET name. The Accord.NET Framework has been featured in multiple books such as Mastering .NET Machine Learning by PACKT publishing and F# for Machine Learning Applications, featured in QCON San Francisco, and currently accumulates more than 1,500 forks in GitHub. Multiple scientific publications have been published with the use of the framework.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (deposito sistematico; retro-catalogo: tutte le voci di Wikipedia in inglese, in ordine alfabetico).
Fonte: Wikipedia in inglese, voce «Accord.NET» — https://en.wikipedia.org/wiki/Accord.NET
Wikidata Q25000538: «software library for scientific computing» (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q25000538
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Accord.NET?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1383009391, consultata il 2026-11-07T10:08:46.391Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 27f34f7c88ea0a1fae70a3b3fb8083203d763101abd369a0f31a2fd3f67d5438