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2. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   It is mostly used for numerical analysis, computational science, and machine learning. [6] C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML.NET was developed to aid integration with existing .NET projects, simplifying the process for existing software using the .NET platform.

3. Comparison of programming languages - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_programming...

   Like natural languages, programming languages follow rules for syntax and semantics. There are thousands of programming languages [ 1 ] and new ones are created every year. Few languages ever become sufficiently popular that they are used by more than a few people, but professional programmers may use dozens of languages in a career.

4. Comparison of deep learning software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_deep...

   C++, Wolfram Language, CUDA: Wolfram Language: Yes No Yes No Yes Yes [75] Yes Yes Yes Yes [76] Yes Software Creator Initial release Software license [a] Open source Platform Written in Interface OpenMP support OpenCL support CUDA support ROCm support [77] Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs

5. Language-based security - Wikipedia

   en.wikipedia.org/wiki/Language-based_security

   In computer science, language-based security (LBS) is a set of techniques that may be used to strengthen the security of applications on a high level by using the properties of programming languages. LBS is considered to enforce computer security on an application-level, making it possible to prevent vulnerabilities which traditional operating ...

6. Ghidra - Wikipedia

   en.wikipedia.org/wiki/Ghidra

   Ghidra (pronounced GEE-druh; [3] / ˈ ɡ iː d r ə / [4]) is a free and open source reverse engineering tool developed by the National Security Agency (NSA) of the United States. The binaries were released at RSA Conference in March 2019; the sources were published one month later on GitHub. [5]

7. Ada (programming language) - Wikipedia

   en.wikipedia.org/wiki/Ada_(programming_language)

   The total number of high-level programming languages in use for such projects fell from over 450 in 1983 to 37 by 1996. HOLWG crafted the Steelman language requirements, a series of documents stating the requirements they felt a programming language should satisfy. Many existing languages were formally reviewed, but the team concluded in 1977 ...

8. scikit-learn - Wikipedia

   en.wikipedia.org/wiki/Scikit-learn

   scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

9. Flux (machine-learning framework) - Wikipedia

   en.wikipedia.org/wiki/Flux_(machine-learning...

   Flux is an open-source machine-learning software library and ecosystem written in Julia. [1] [6] Its current stable release is v0.15.0 [4] . It has a layer-stacking-based interface for simpler models, and has a strong support on interoperability with other Julia packages instead of a monolithic design. [7]