Google has opened the source to DeepDream, the neural network image analysis application that made a splash by generating its own images. Here it is, and it tells you what the dependencies are.
CellF is the world’s first neural synthesiser. Its “brain” is made of biological neural networks that grow in a Petri dish and controls in real time it’s “body” that is made of an array of analogue modular synthesizers that work in synergy with it and play with human musicians. It is a completely autonomous instrument that consists of a neural network that is bio-engineered from my own cells that control a custom-built synthesizer. There is no programming or computers involved, only biological matter and analogue circuits; a ‘wet-analogue’ instrument.
In response to the plethora of closed-source and API-only neural network and machine learning software out there the GNU Project has developed Gneural Network, a F/OSS framework which helps the developer build their own projects. Written in C, developed for portability. Has its own scripting language but can be referenced as a library from your own code.
The github repository for NuPIC Studio, which is an interactive desktop application for building HTM neuralnetworks, train them, collecting metrics, and exporting them to share. It also allows you to debug and experiment with those neural networks in a desktop environment. Built on top of the Python NuPIC library. Relies upon the Python modules you'd expect. IDE
A research paper from Apple that discusses the use of multiple neuralnetworks in opposition to each other for machinelearning and synthetic image generation. pdf download