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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]
In September 2016, a new group was created to focus on artificial intelligence and research. [5] On March 29, 2018, a new structure merged all of these into three. [6] [7] As of 2023, there are four groups: Cloud and Artificial Intelligence (Azure, GitHub, Visual Studio, npm, C#, .NET, TS)
OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.
Infer.NET is a free and open source.NET software library for machine learning. [2] It supports running Bayesian inference in graphical models and can also be used for probabilistic programming . [ 3 ]
LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. [4] [5] It is based on decision tree algorithms and used for ranking, classification and other machine learning tasks. The development focus is on performance and ...
Development originally came out of the Cryptonets paper, [3] demonstrating that artificial intelligence algorithms could be run on homomorphically encrypted data. [4]It is open-source (under the MIT License) and written in standard C++ without external dependencies and so it can be compiled cross platform.
DeepSeek, the Chinese AI startup, shocked the world after unveiling an AI model last week that rivals leading models like OpenAI’s o1, while claiming it cost far less to develop and required far ...
Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide: A practical guide to building neural networks using Microsoft's open source deep learning framework. Packt Publishing. Packt Publishing.