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This is a computer vision and artificial intelligence library. [14] [15] It implements a number of image processing algorithms and filters. It is released under the LGPLv3 and partly GPLv3 license. Majority of the library is written in C# and thus cross-platform. [citation needed] Functionality of AForge.NET has been extended by the Accord.NET ...
In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6]
C++, Java: Java, Scala, Clojure, Python , Kotlin: Yes No [8] Yes [9] [10] No Computational Graph Yes [11] Yes Yes Yes Yes [12] Yes Dlib: Davis King 2002 Boost Software License: Yes Cross-platform: C++: C++, Python: Yes No Yes No Yes Yes No Yes Yes Yes Yes Flux: Mike Innes 2017 MIT license: Yes Linux, MacOS, Windows (Cross-platform) Julia: Julia ...
It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built using CatBoost can be used for predictions in C++, Java, [10] C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. [6] InfoWorld magazine awarded the library "The best machine learning tools" in 2017.
AForge.NET is a computer vision and artificial intelligence library. It implements a number of genetic, fuzzy logic and machine learning algorithms with several architectures of artificial neural networks with corresponding training algorithms. LGPLv3 and partly GPLv3. ALGLIB is an open source numerical analysis library with C# version. Dual ...
Java does not provide tuple types as part of its language or standard API; numerous third-party libraries exist which can provide tuple types, [41] but they all are necessarily similar to the C# System.Tuple classes.
ML.NET is a free software machine learning library for the C# and F# programming languages. [4] [5] [6] It also supports Python models when used together with NimbusML.The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. [7]
Artificial intelligence, application No Yes No No No Yes Logic No Linden Scripting Language (LSL) Virtual worlds content scripting and animation Yes No No Yes No No Scripts exist in in-world objects De facto reference is the Second Life implementation of LSL. [32] Lua: Application, embedded scripting Yes Yes [33] Yes Yes No Yes