PEXESO Evolutionary Methods Library is the library of Evolutionary Optimization Methods for Real Domains. It is based on the original Object Oriented Algorithmic model that consists of the multi- operators technology (currently it supports 13 operator types) and "open policy" on the selection strategy (currently 4 selection strategy types). Using this method you have a possibility to compose your own optimization method using some combination of operators and selection strategies, or you can use one of 3 precomposed algorithms. It is provided with several examples and comprehensive HTML documentation.
EAsea Specification of Evolutionary Algorithms (EASEA), is a high-level language dedicated to the specification of evolutionary algorithms. The language and compiler are quite mature. EASEA compiles .ez specification files into C++ or Java object files, using existing evolutionary libraries. Supported C++ libraries currently are GALib or EO.
YAKS - Yet Another Khepera Simulator, is a Khepera simulator that uses prerecorded sensor values from a real robot in order to provide simulation speeds of 3600 times reality. It has support for the infrared sensors, light sensors, K213 vision turret, gripper arm, and more. The simulator comes with a GTK interface, a genetic algorithm (GA), and an artificial neural net (ANN).
Torch is a machine learning library written in C++ that works on most Unix/Linux platforms. It can be used to train MLPs, RBFs, HMMs, Gaussian Mixtures, Kmeans, Mixtures of experts, Parzen Windows, KNN, and can be easily extended so that you can add your own machine learning algorithms.
The OpenAI site is centered around an Open Source project and community involving artificial intelligence. The project itself is the creation of a set of tools that are considered to be models of human intelligence or biomimicry. These tools are intended to be integrated into applications or used stand alone for research.