Open Source Java Machine Learning Software for Windows

Java Machine Learning Software for Windows

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Browse free open source Java Machine Learning Software for Windows and projects below. Use the toggles on the left to filter open source Java Machine Learning Software for Windows by OS, license, language, programming language, and project status.

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  • 1
    BagaturChess

    BagaturChess

    Java Chess Engine

    This is UCI Chess Engine writen in Java. Since version 1.4 (inclusive) the project was moved to https://github.com/bagaturchess/Bagatur
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    The goal is to create an artificial intelligence for dominoes game.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    Reactor Breeder

    A Genetic Algorithm for Reactors in StarMade

    This software uses a genetic algorithm to "evolve" reactor designs for Schema's space-simulation game, Star-Made (http://star-made.org/). One of the more unique aspects of the game is that ship power management is not as simple as filling a cube with power generation blocks. This mechanism leads to difficulties in getting maximal power generation out of such reactors. This program rectifies this issue by using a self-organizing variant of brute force search. Much of the search space is pruned early on by a user-selectable fitness function. Within a few epochs, reactor output quickly converges to several sub-optimal, yet high-output reactors. Given enough time, the idea is that the optimal reactor configuration will be yielded.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Swarm Wars

    Swarm Wars

    Safety in numbers.

    REPOSITORY MOVED TO GITHUB: https://github.com/happyjack27/SwarmWars video sample: http://youtu.be/s5mLNbdBQGY A game where you evolve & compete AI swarms. The organisms use swarm intelligence & ant colony optimization. The organisms can communicate through 3-color signaling as well as by laying beacons. They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved neural net augmented with online back propagation learning. The back propagation learning uses a reward vector and plasticity matrix that is evolved as part of the genome. Long story short, the AI is pretty frickin' sophisticated. Players can take control of organisms, trade resources and organisms in a market, and aid evolution by selective breeding.
    Downloads: 0 This Week
    Last Update:
    See Project
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