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  2. Albumentations - Wikipedia

    en.wikipedia.org/wiki/Albumentations

    The library has also been widely adopted in computer vision and deep learning projects, with over 12,000 packages depending on it as listed on its GitHub dependents page. [ 5 ] In addition, Albumentations has been used in many winning solutions for computer vision competitions, including the DeepFake Detection challenge at Kaggle with a prize ...

  3. ELKI - Wikipedia

    en.wikipedia.org/wiki/ELKI

    elki-project.github.io ELKI ( Environment for Developing KDD-Applications Supported by Index-Structures ) is a data mining (KDD, knowledge discovery in databases) software framework developed for use in research and teaching.

  4. Anomaly detection - Wikipedia

    en.wikipedia.org/wiki/Anomaly_detection

    The concept of intrusion detection, a critical component of anomaly detection, has evolved significantly over time. Initially, it was a manual process where system administrators would monitor for unusual activities, such as a vacationing user's account being accessed or unexpected printer activity.

  5. Zeek - Wikipedia

    en.wikipedia.org/wiki/Zeek

    Zeek analyzers perform application layer decoding, anomaly detection, signature matching and connection analysis. [13] Zeek's developers designed the software to incorporate additional analyzers. The latest method for creating new protocol analyzers relies on the Spicy framework.

  6. mlpack - Wikipedia

    en.wikipedia.org/wiki/Mlpack

    mlpack is a free, open-source and header-only software library for machine learning and artificial intelligence written in C++, built on top of the Armadillo library and the ensmallen numerical optimization library.

  7. ML.NET - Wikipedia

    en.wikipedia.org/wiki/ML.NET

    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]

  8. Isolation forest - Wikipedia

    en.wikipedia.org/wiki/Isolation_forest

    Isolation Forest is an algorithm for data anomaly detection using binary trees.It was developed by Fei Tony Liu in 2008. [1] It has a linear time complexity and a low memory use, which works well for high-volume data.

  9. IBM Granite - Wikipedia

    en.wikipedia.org/wiki/IBM_Granite

    IBM Granite is a series of decoder-only AI foundation models created by IBM. [3] It was announced on September 7, 2023, [4] [5] and an initial paper was published 4 days later. [6]