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goNEAT
The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagationgoNEAT_NS
This project provides GOLang implementation of Neuro-Evolution of Augmented Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optimagoESHyperNEAT
The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.goGraphML
The GraphML support for GO languagechatbot-shopping-list
This is simple chatbot application with Natural Language Understanding to maintain very simple shopping listdogs-vs-cats
The image classification with Convolutional Neural Networks using MXNet library for Deep Learningenglish-article-correction
The experiment with applying NLP to correction of definite/indefinite articles in English text corpusneat-libraries-compared
The repository with source code which can be used to compare performance of different implementations of the NEAT algorithmsolar-correlation-map-R
Port of python library to provide correlation visualization between explanatory and dependent variables as well as between explanatory variables pairs.Plastic-UNet
The U-Net CNN with differentiable plasticity learning method implementationwsdl2ksoap2-android
Automatically exported from code.google.com/p/wsdl2ksoap2-androidGPXGenerator
GO utility to process GPX filesyaricom.github.io
The rendered personal web spacetracksfinder
The image processing algorithm to find railway tracks on the imagedeep-ne-gpu
The Deep Neuroevolution GPU enhanced with integrated Atari ALE environmentLove Open Source and this site? Check out how you can help us