10 Machine Learning and Data Science packages and projects
9.4 9.2 L2 C#Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).
6.0 6.4 HTMLF# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data
5.6 0.0 C#Encog Machine Learning Framework
5.5 0.1 F#Data frame and (time) series library for exploratory data manipulation with C# and F# support
5.5 0.0 L5 C#Advanced image processing and computer vision algorithms made as fluent extensions.
5.5 6.5 L3 C#Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models.
5.4 0.2 L2 C#Framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence (image processing, neural networks, genetic algorithms, machine learning, robotics).
4.0 0.0 F#Type provider that exposes R packages and functions in a type-safe way to F# callers
1.6 1.6 MatlabA framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]
1.5 0.0A collection of data science and machine learning libraries for F# and .NET
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