11 Machine Learning and Data Science packages and projects
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Accord.NET
9.6 7.9 L2 C#Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics). -
AForge.NET
6.6 0.0 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). -
F# Data
6.1 7.8 HTMLF# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data -
Accord.NET Extensions
5.9 0.0 L5 C#Advanced image processing and computer vision algorithms made as fluent extensions. -
Deedle
5.9 8.2 F#Data frame and (time) series library for exploratory data manipulation with C# and F# support -
numl
5.4 0.8 L3 C#Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models. -
Spreads
4.1 9.2 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. -
R Provider
3.9 4.3 F#Type provider that exposes R packages and functions in a type-safe way to F# callers -
Infer.NET
1.7 1.4 MatlabA framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]
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