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AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc. The framework is comprised by the set of libraries and sample ... [More]
Encog is an advanced neural network and machine learning framework for Java, C# and C/C++. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog ... [More]
Accord.NET Framework is a C# framework which extends the excellent AForge.NET Framework with new tools and libraries. The framework is comprised by libraries and sample applications demonstrating their features. Some of the libraries include: Accord.Statistics - library with statistical ... [More]
EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems ... [More]
PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. It's the Swiss army knife for machine learning and neural networking.
The S-Space Package is a collection of algorithms for building Semantic Spaces. These algorithms process text corpora and map semantic representations for words onto high dimensional vectors. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics. ... [More]
This project is an university work for the discipline of Artificial Intelligence. It is a collection of algorithms to solve the 15 puzzle game, together with functions to compare them.
A game mixing realtime and turn-by-turn strategy, without any random, making it really deterministic and based on the player experience more than its chance. It is developed using the Objective Caml programming language, as a school project for our first year in EPITA, a french programming school.
CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.