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Linux, macOS, Windows on Intel CPU [16] C/C++, DPC++, Fortran C [17] Yes [18] No No No Yes No Yes [19] Yes [19] No Yes Google JAX: Google 2018 Apache License 2.0: Yes Linux, macOS, Windows: Python: Python: Only on Linux No Yes No Yes Yes Keras: François Chollet 2015 MIT license: Yes Linux, macOS, Windows: Python: Python, R: Only if using ...
C, Java, C#, Fortran, Python 1970 many components Not free Proprietary: General purpose numerical analysis library. Math.NET Numerics: C. Rüegg, M. Cuda, et al. C#, F#, C, PowerShell 2009 4.7.0, November 2018 Free MIT/X11: General purpose numerical analysis and statistics library for the .NET framework and Mono, with optional support for ...
In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
7 full platform 3.0 2.2 No Proprietary, commercial: Lucee (Formerly Railo) Lucee Association Switzerland 5.3.2.77 2019-05-27 7 partial platform 3.1 2.3 No Free, CDDL, GPL + classpath exception: NetWeaver Application Server: SAP AG: 7.4 2013-01-11 5 2.5 2.1 No Proprietary, commercial: Oracle Containers for J2EE: Oracle Corporation: 10.1.3.5.0 ...
Windows, Linux, macOS X, Web (cross-browser) Windows, Java / Swing / SWT / Eclipse , JavaFX , Web applications , Windows Applications, C++, Android Quality First Software GmbH
Latest version Open source Software license Interface Written in Scripting languages ADaMSoft: Marco Scarno 27 April 2015 () Yes GNU GPL: CLI, GUI: Java: Alteryx: Alteryx Inc. 2019.2 (June 2019) No Proprietary: GUI, Python SDK, js SDK C#, C++, Python, R, js R, Python Analyse-it: Analyse-it No Proprietary: GUI: C#, C++, Fortran ASReml: VSN ...
Credit - Photograph by Platon for TIME. P resident-elect Donald Trump, TIME’s 2024 Person of the Year, sat down for a wide-ranging interview at his Mar-a-Lago Club in Palm Beach, Fla., on Nov ...
PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and inference performance across major cloud platforms.