Popularity
1.4
Growing
Activity
0.0
Stable
4
4
9

Programming language: - - -

FsLab alternatives and related packages

Based on the "Machine Learning and Data Science" category

  • Accord.NET

    9.5 4.7 L2 FsLab VS Accord.NET
    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 FsLab VS AForge.NET
    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

    6.1 7.8 FsLab VS F# Data
    F# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data

  • Deedle

    5.9 8.3 FsLab VS Deedle
    Data frame and (time) series library for exploratory data manipulation with C# and F# support

  • Accord.NET Extensions

    5.9 0.0 L5 FsLab VS Accord.NET Extensions
    Advanced image processing and computer vision algorithms made as fluent extensions.

  • encog-dotnet-core

    5.7 0.0 FsLab VS encog-dotnet-core
    Encog Machine Learning Framework

  • numl

    5.5 1.0 L3 FsLab VS numl
    Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models.

  • Spreads

    4.1 9.3 FsLab VS Spreads
    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

    4.0 4.7 FsLab VS R Provider
    Type provider that exposes R packages and functions in a type-safe way to F# callers

  • Infer.NET

    1.7 1.5 FsLab VS Infer.NET
    A framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]

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