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  2. Mallet (software project) - Wikipedia

    en.wikipedia.org/wiki/Mallet_(software_project)

    MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, cluster analysis, information extraction, topic modeling and other machine learning applications to text.

  3. Spring Boot - Wikipedia

    en.wikipedia.org/wiki/Spring_Boot

    Spring Boot is a convention-over-configuration extension for the Spring Java platform intended to help minimize configuration concerns while creating Spring-based applications. [ 4 ] [ 5 ] The application can still be adjusted for specific needs, but the initial Spring Boot project provides a preconfigured "opinionated view" of the best ...

  4. Encog - Wikipedia

    en.wikipedia.org/wiki/Encog

    Encog is a machine learning framework available for Java and .Net. [1] Encog supports different learning algorithms such as Bayesian Networks, Hidden Markov Models and Support Vector Machines. However, its main strength lies in its neural network algorithms. Encog contains classes to create a wide variety of networks, as well as support classes ...

  5. Spring Framework - Wikipedia

    en.wikipedia.org/wiki/Spring_Framework

    Spring Roo is a community project which provides an alternative, code-generation based approach at using convention-over-configuration to rapidly build applications in Java. It currently supports Spring Framework, Spring Security and Spring Web Flow. Roo differs from other rapid application development frameworks by focusing on:

  6. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    AlexNet contains eight layers: the first five are convolutional layers, some of them followed by max-pooling layers, and the last three are fully connected layers. The network, except the last layer, is split into two copies, each run on one GPU. [1]

  7. CatBoost - Wikipedia

    en.wikipedia.org/wiki/Catboost

    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.

  8. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    OpenML: [494] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [495] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...

  9. EA Sports FC 24 - Wikipedia

    en.wikipedia.org/wiki/EA_Sports_FC_24

    EA Sports FC 24 [1] is an association football-themed simulation video game developed by EA Vancouver and EA Romania and published by EA Sports. It is the inaugural installment in the EA Sports FC series , [ 2 ] succeeding the FIFA video game series after Electronic Arts 's partnership with FIFA concluded with FIFA 23 .