11 Machine Learning and Data Science packages and projects
9.6 8.7 L2 C#Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).
6.3 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).
6.0 8.8 HTMLF# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data
5.9 0.0 L5 C#Advanced image processing and computer vision algorithms made as fluent extensions.
5.7 1.2 C#Encog Machine Learning Framework
5.6 8.6 F#Data frame and (time) series library for exploratory data manipulation with C# and F# support
5.5 0.5 L3 C#Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models.
3.9 4.8 F#Type provider that exposes R packages and functions in a type-safe way to F# callers
3.8 8.9 C#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.
1.6 0.0 MatlabA framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]
1.3 0.0A collection of data science and machine learning libraries for F# and .NET
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