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Machine Learning and Data Science packages

Showing projects tagged as Machine Learning and Data Science

  • Accord.NET

    9.6 7.9 L2 C#
    Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).
  • AForge.NET

    6.6 0.0 L2 C#
    Framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence (image processing, neural networks, genetic algorithms, machine learning, robotics).
  • F# Data

    6.2 7.4 HTML
    F# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data
  • Deedle

    5.9 7.9 F#
    Data frame and (time) series library for exploratory data manipulation with C# and F# support
  • encog-dotnet-core

    5.7 0.0 C#
    Encog Machine Learning Framework
  • Stanford.NLP for .NET

    5.4 1.5 F#
    Stanford NLP for .NET
  • Spreads

    4.1 9.1 C#
    Series and Panels for Real-time and Exploratory Analysis of Data Streams. Spreads library is optimized for performance and memory usage. It is several times faster than other open source projects.
  • R Provider

    3.9 3.7 F#
    Type provider that exposes R packages and functions in a type-safe way to F# callers
  • Infer.NET

    1.6 1.1 Matlab
    A framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]
  • FsLab

    1.4 0.0
    A collection of data science and machine learning libraries for F# and .NET