10

8

6

4

2


9.6

8.5
ML.NET

9.5

6.7
Accord.NET

8.3

5.3
TensorFlow.NET

7.6

6.6
m2cgen

7.1
0.0
AForge.NET

6.3

7.4
F# Data

17 Machine Learning and Data Science packages and projects

  • ML.NET

    9.6 8.5 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).

    • InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
    Promo

  • TensorFlow.NET

    8.3 5.3 C#
    .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

  • m2cgen

    7.6 6.6 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

    7.1 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 7.4 F#
    F# Data: Library for Data Access

  • Deedle

    6.3 4.7 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

    5.5 0.0 C#
    Encog Machine Learning Framework

  • numl

    5.3 0.0 L3 C#
    Machine Learning for .NET

  • Catalyst

    4.7 6.6 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 4.1 C#
    Series and Panels for Real-time and Exploratory Analysis of Data Streams

  • R Provider

    4.2 0.0 F#
    Access R packages from F#

  • Synapses

    2.3 0.0 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

    1.3 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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