ABrain

ABrain is a C++ library with Python bindings implementing the encoding of ES-HyperNEAT. Its main purpose is to give straightforward access to an expressive genetic space for the manipulation of large-scale neural networks. From the experimenter, it only requires the specification on a robot’s inputs and outputs: the topology and the functionality are emergent properties.

Currently, abrain is solely maintained by me and, as such, only a subset of the targeted features are available. The list of planned improvements is:

• Removing templating in C++ CPPNs
• Allowing for 2D ANNs
  • Tricky because of branching visualization
• Adding historical markings
• Adding crossover
• Integrating VfMRI
• Adding built-in evolutionary algorithms:
  • or at least links with existing libraries

Feel free to contact me to participate in the development.