10

8

6

4

2


9.7

8.7
ML.NET

9.5

6.7
Accord.NET

8.2

8.0
TensorFlow.NET

7.5

7.7
m2cgen

7.0
0.0
AForge.NET

6.3

8.2
F# Data

17 Machine Learning and Data Science packages and projects

  • ML.NET

    9.7 8.7 C#
    ML.NET is an open source and cross-platform machine learning framework for .NET.

  • Accord.NET

    9.5 6.7 L2 C#
    Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).

    • Mergify is the most powerful merge queue tool that offers speculative checks, batch merges, and multiple queueing options. Coordinated with any CI and fully integrated to GitHub. Get started or request a demo!
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  • TensorFlow.NET

    8.2 8.0 C#
    .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

  • m2cgen

    7.5 7.7 Python
    Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

  • AForge.NET

    7.0 0.0 L2 C#
    AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.

  • F# Data

    6.3 8.2 F#
    F# Data: Library for Data Access

  • Deedle

    6.3 5.8 F#
    Easy to use .NET library for data and time series manipulation and for scientific programming

  • Accord.NET Extensions

    6.1 0.0 L5 C#
    Advanced image processing and computer vision algorithms made as fluent extensions.

  • encog-dotnet-core

    5.6 0.0 C#
    Encog Machine Learning Framework

  • numl

    5.3 0.0 L3 C#
    Machine Learning for .NET

  • Catalyst

    4.6 7.3 C#
    🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

  • Spreads

    4.6 3.8 C#
    Series and Panels for Real-time and Exploratory Analysis of Data Streams

  • R Provider

    4.3 7.3 F#
    Access R packages from F#

  • Synapses

    2.3 1.5 Elixir
    A group of neural-network libraries for functional and mainstream languages

  • Infer.NET

    1.8 0.0 MATLAB
    UAI 2015. Kernel-based just-in-time learning for expectation propagation

  • FsLab

    1.4 0.0
    FsLab project templates - download as ZIP to get started!

  • SciSharp STACK

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