A python package for evolving neural networks via genetic algorithms.
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Updated
May 16, 2019 - C++
A python package for evolving neural networks via genetic algorithms.
eSpinn -- evolving Spiking Neural Networks
An implementation of NEAT based on Ken Stanley's implementation from 2002. This project is designed to teach itself how to play Snake and use Python for data analytics.
Neuroevolution Machine Learning Approach for Snake using C++ From Scratch. Part of an academic paper on neuroevolution
C++ implementation of the River Crossing Task
Handwritten digit classification CNN trained using evolution based reinforcement learning; written from scratch in c++
Machine Learning project in which AI plays the "T-Rex Run" (Google Chrome Dino) game.
Organisms evolving in a simulated ecosystem - an artificial life simulation.
A NeuroEvolution Toolkit. Currently provide NEAT, rtNEAT methods with cascade and novelty search variants.
a self-learning AI drone learns to evade obstacles by NeuroEvolution through Augmenting Topologies (NEAT)
NEAT (NeuroEvolution of Augmentic Topologies) C++ Library Algorithm Implementation
CPU version of NEP
EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM
Evolutionary Algorithms Framework
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