Popularity
1.4
Stable
Activity
0.0
Stable
4
4
9

Programming language: - - -

FsLab alternatives and similar packages

Based on the "Machine Learning and Data Science" category

  • ML.NET

    9.7 9.6 FsLab VS ML.NET
    Cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

  • Accord.NET

    9.6 7.8 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

    7.1 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 7.0 FsLab VS F# Data
    F# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data

  • Accord.NET Extensions

    6.1 0.0 L5 FsLab VS Accord.NET Extensions
    Advanced image processing and computer vision algorithms made as fluent extensions.

  • Deedle

    5.9 7.4 FsLab VS Deedle
    Data frame and (time) series library for exploratory data manipulation with C# and F# support

  • encog-dotnet-core

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

  • numl

    5.5 0.4 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 8.9 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

    3.9 3.0 FsLab VS R Provider
    Type provider that exposes R packages and functions in a type-safe way to F# callers

  • Catalyst

    2.6 8.7 FsLab VS Catalyst
    Catalyst Cross-platform Natural Language Processing (NLP) library inspired by spaCy, with pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models. Part of the SciSharp Stack

  • Infer.NET

    1.7 1.0 FsLab VS Infer.NET
    A framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]

  • Synapses

    1.2 7.9 FsLab VS Synapses
    An in-memory neural network library written in F#.

  • SciSharp STACK

    - - FsLab VS SciSharp STACK
    A rich machine learning ecosystem for .NET created by porting the most popular Python libraries to C#.

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