17 Machine Learning and Data Science packages and projects

  • ML.NET

    9.7 8.1 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).
  • Syncfusion Xamarin components and frameworks are constantly being developed and updated to meet the growing needs of a changing digital world. This suite has controls from basic editors to powerful, advanced controls like DataGrid, Charts, ListView, and RTE. Free 30-day Trial.
  • TensorFlow.NET

    8.0 9.2 C#
    .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
  • m2cgen

    7.4 8.4 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 7.9 F#
    F# Data: Library for Data Access
  • Deedle

    6.3 4.5 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

    5.7 0.0 C#
    Encog Machine Learning Framework
  • numl

    5.4 0.0 L3 C#
    Machine Learning for .NET
  • Spreads

    4.5 0.0 C#
    Series and Panels for Real-time and Exploratory Analysis of Data Streams
  • Catalyst

    4.2 4.4 C#
    ๐Ÿš€ 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.
  • R Provider

    4.2 8.7 F#
    Access R packages from F#
  • Synapses

    2.1 5.2 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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