Rocket powered machine learning. Create, compare, adapt, improve - neural networks at the speed of thought.

The following libraries / frameworks are used in the core project:

Library	Purpose
log4net	Logging (log4j for .NET)
NUnit	Unit testing
DiffSharp, Sigma.DiffSharp	Functional automatic differentiation with ndarrays and various backends
SharpZipLib	Compression and decompression of various formats (zip, tar, gz, bzip, gzip)
ManagedCuda, ManagedCuda-CUBLAS	Managed CUDA (GPU) and CuBLAS support

The following libraries / frameworks are used in the WPF visualiser:

Library	Purpose
Dragablz	Tearable tab control for WPF, which includes docking, tool windows
LiveCharts, LiveCharts.Wpf	Charting, graphing, advanced data, plotting
MahApps.Metro, MahApps.Metro.Resources	Toolkit for creating metro-style WPF applications
MaterialDesignColors, MaterialDesignThemes, MaterialDesignThemes.MahApps	Material design for WPF/MahApps