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  2. ELKI - Wikipedia

    en.wikipedia.org/wiki/ELKI

    Version 0.7.5 (February 2019) adds additional clustering algorithms, anomaly detection algorithms, evaluation measures, and indexing structures. [ 18 ] Version 0.8 (October 2022) adds automatic index creation, garbage collection, and incremental priority search, as well as many more algorithms such as BIRCH .

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

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

    On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study Most data files are adapted from UCI Machine Learning Repository data, some are collected from the literature. treated for missing values, numerical attributes only, different percentages of anomalies, labels 1000+ files ARFF: Anomaly detection

  4. Zeek - Wikipedia

    en.wikipedia.org/wiki/Zeek

    Zeek's event engine analyzes live or recorded network traffic to generate neutral event logs. Zeek uses common ports and dynamic protocol detection (involving signatures as well as behavioral analysis) to identify network protocols. [12] Developers write Zeek policy scripts in the Turing complete Zeek scripting language. By default Zeek logs ...

  5. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    RAWPED is a dataset for detection of pedestrians in the context of railways. The dataset is labeled box-wise. 26000 Images Object recognition and classification 2020 [70] [71] Tugce Toprak, Burak Belenlioglu, Burak Aydın, Cuneyt Guzelis, M. Alper Selver OSDaR23 OSDaR23 is a multi-sensory dataset for detection of objects in the context of railways.

  6. Deeplearning4j - Wikipedia

    en.wikipedia.org/wiki/Deeplearning4j

    Deeplearning4j relies on the widely used programming language Java, though it is compatible with Clojure and includes a Scala application programming interface (API). It is powered by its own open-source numerical computing library, ND4J, and works with both central processing units (CPUs) and graphics processing units (GPUs).

  7. 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.

  8. Caffe (software) - Wikipedia

    en.wikipedia.org/wiki/Caffe_(software)

    Download QR code; Print/export ... Anomaly detection. RANSAC; k-NN; ... It reached end-of-support in 2018. It is hosted on GitHub. [7] Features

  9. 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.