yaricom/goGraphML

Stars
10
Rank 1,807,489 (Top 36 %)
Language
Go
License
MIT License
Created almost 6 years ago
Updated about 4 years ago

yaricom/goGraphML

yaricom

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The GraphML support for GO language

goNEAT

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

goNEAT_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 optima

goESHyperNEAT

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.

chatbot-shopping-list

This is simple chatbot application with Natural Language Understanding to maintain very simple shopping list

dogs-vs-cats

The image classification with Convolutional Neural Networks using MXNet library for Deep Learning

english-article-correction

The experiment with applying NLP to correction of definite/indefinite articles in English text corpus

neat-libraries-compared

The repository with source code which can be used to compare performance of different implementations of the NEAT algorithm

solar-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 implementation

wsdl2ksoap2-android

Automatically exported from code.google.com/p/wsdl2ksoap2-android

GPXGenerator

GO utility to process GPX files

yaricom.github.io

The rendered personal web space

tracksfinder

The image processing algorithm to find railway tracks on the image

deep-ne-gpu

The Deep Neuroevolution GPU enhanced with integrated Atari ALE environment

bombman-RL-AI-J2ME

The classic Bomber Man game with Reinforcement Learning based AI agent for J2ME platform. It was done long before RL become so hypo :)