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Only on Linux No Yes No Yes Yes Keras: François Chollet 2015 MIT license: Yes Linux, macOS, Windows: Python: Python, R: Only if using Theano as backend Can use Theano, Tensorflow or PlaidML as backends Yes No Yes Yes [20] Yes Yes No [21] Yes [22] Yes MATLAB + Deep Learning Toolbox (formally Neural Network Toolbox) MathWorks: 1992 Proprietary ...
Windows, Linux, macOS Commercial Java Capella: Thales Group & Eclipse Foundation community Windows, Linux, macOS 2015-04-06 [3] 2020-11-17 (v5.0) [4] Yes EPL: Java [5] ConceptDraw PRO: CS Odessa Windows, macOS 1993 2017-11-07 (v11) [6] No Commercial Unknown Enterprise Architect: Sparx Systems: Windows (supports Linux and macOS installation) 2000
JP Software command-line processors provide user-configurable colorization of file and directory names in directory listings based on their file extension and/or attributes through an optionally defined %COLORDIR% environment variable. For the Unix/Linux shells, this is a feature of the ls command and the terminal.
MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software field. Machine learning models are tested and developed in isolated experimental systems.
This article may require cleanup to meet Wikipedia's quality standards.The specific problem is: Active distributions composed entirely of free software (Dragora GNU/Linux-Libre, gNewSense, Guix System, LibreCMC, Musix GNU+Linux, Parabola GNU/Linux-libre, and Trisquel) need information in all sub categories, #General is complete.
COMMAND.COM, the original Microsoft command line processor introduced on MS-DOS as well as Windows 9x, in 32-bit versions of NT-based Windows via NTVDM; cmd.exe, successor of COMMAND.COM introduced on OS/2 and Windows NT systems, although COMMAND.COM is still available in virtual DOS machines on IA-32 versions of those operating systems also.
A desktop environment is a collection of software designed to give functionality and a certain look and feel to an operating system.. This article applies to operating systems which are capable of running the X Window System, mostly Unix and Unix-like operating systems such as Linux, Minix, illumos, Solaris, AIX, FreeBSD and Mac OS X. [1]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]