Deep Learning Frameworks

There are a lot of deep learning frameworks out there, depending on your usage purpose or the familiarity of your programming languages or working tasks, here I only summarize ones that I am familiar with:

1) TensorFlow by Google (released on 10 Nov 2015): http://tensorflow.org/

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2) VELES by Samsung (released on 11 Nov 2015): https://velesnet.ml/

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3) cnn (lightweight and very fast neural network library in C++, also in Python, works both on Windows and Linux machines): https://github.com/kaishengyao/cnn

Comment: cnn has been proven to be much faster than Theano both with and without GPU. Also, it offers the advantage for software production of neural network models since it has been developing in C++ and more importantly, it supports both Windows and Linux platforms. 

4) to be updated

C++ web development frameworks

1) Witty: http://www.webtoolkit.eu/wt
2) CppCMS: http://cppcms.com/wikipp/en/page/main
3) POCO: http://pocoproject.org/
4) ...

Mono - cross platform, open source .NET development framework

http://www.mono-project.com/Main_Page

Mono is a software platform designed to allow developers to easily create cross platform applications. Sponsored by Xamarin, Mono is an open source implementation of Microsoft's .NET Framework based on the ECMA standards for C# and the Common Language Runtime. A growing family of solutions and an active and enthusiastic contributing community is helping position Mono to become the leading choice for development of Linux applications.