augmenting-topologies

There are 18 repositories under augmenting-topologies topic.

  • goNEAT

    yaricom/goNEAT

    The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation

    Language:Go7672519

  • SirBob01/NEAT-Python

    Genetic learning algorithm implementation for simulations, games, or general machine learning problems

    Language:Python473710

  • yaricom/goNEAT_NS

    This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

    Language:Go39607

  • vishnugh/evo-NEAT

    A java implementation of NEAT(NeuroEvolution of Augmenting Topologies ) from scratch for the generation of evolving artificial neural networks. Only for educational purposes.

    Language:Java347115

  • hav4ik/tinyai

    A compact implementation of NEAT (NeuroEvolution of Augmentic Topologies) algorithm on C++ for small programs/projects.

    Language:HTML16323

  • BiagioFesta/EvolutionNet

    NEAT (NeuroEvolution of Augmentic Topologies) C++ Library Algorithm Implementation

    Language:C++15412

  • krvaibhaw/trecognizer

    Using neural evolution of augmenting topologies developed a program based on computer vision for recognizing traffic lights in real time environment.

    Language:Python134016

  • SirBob01/HyperNEAT

    C++ ES-HyperNEAT algorithm implementation

    Language:C++8300

  • jwblangley/neat-ml

    An implementation of the NEAT (Neuroevolution through augmenting topologies) algorithm in Java. Originally found at http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf

    Language:Java4270

  • pkonowrocki/NEAT

    Implementation of NEAT algorithm, based on "Evolving Neural Networks through Augmenting Topologies" by Kenneth O. Stanley and Risto Miikkulainen

    Language:C#3100

  • HarjotSingh8/neat-ml

    Language:JavaScript1100

  • JulioGuillermo/neat

    This is a neuro-evolution of augmenting topologies library. It uses a genetic algorithm to evolve neural networks. This is useful when you don't have a dataset to train your neural network, for example when you need an agent to interact with an environment or to learn to play some games.

    Language:Go1100

  • ArenaGrenade/NeuralNets_NEAT

    Neuroevolution through Augmenting Topologies

    Language:Python0101

  • Mhmd-Hisham/NEAT-PIE

    A humple implementation of the NeuroEvolution of Augmenting Topologies[NEAT] algorithm written purely in Python3.

    Language:Python0100

  • NoeeeTrejo/FlappyBirdAI

    An AI that learns how to play flappy bird, using NEAT (NeuroEvolution of Augmenting Topologies), essentially taking the best attributes from different Genomes of Birds to end up with birds that are better at the game.

    Language:Python0100

  • oneturkmen/evolving-nets

    Neuroscience-inspired optimization algorithm known as NeuroEvolution of Augmenting Topologies (NEAT)

    Language:Python0360

  • srosalino/Milk_Components_and_Quality_Inference

    Automatic Milking Systems Problem: Utilizing Neuroevolutionary Algorithms to infer milk components

    Language:Jupyter Notebook0100

  • MultiTrickFox/Neat

    "Neuro Evolution of Augmenting Topologies"

    Language:Python10