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genekeras

A simple library for the genetic evolution of a neural network with keras

general-advanced-deep-learning-trainings

Contents, •Neural networks – Perceptron, Adaline, BP neural networks, unsupervised learning neural networks, RBF neural networks, etc. •Optimization methods – Genetic algorithms, swarm intelligence, etc. •Training deep neural networks – Parameter and structure tuning, etc. •Deep learning neural network models – Convolutional Neural Networks (CNN), autoencoders

generate-novel-molecules-with-lstm

Novel molecules generation with LSTM

genetic

Implement some interesting genetic and CNN algorithms

genetic-algorithm

Re-written the genetic algortihm from data-science-2 in Python

genetic-algorithm-for-cnn

This project tunes a Convolutional Neural Network using a genetic algorithm for Image Classification.

genetic-algorithm-rnn

Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration

genetic-cnn

CNN architecture exploration using Genetic Algorithm

genetic-cnn-1

CNN architecture exploration using Genetic Algorithm

genetic-cnn-for-computer-vision

Evolving CNN Hyper-Parameters for Computer Vision

genetic_evolution_for_cnn

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

geneticcnn

geneticcnn-1

geneticdraw

The GeneticDraw is a model designed for automatically drawing images given a label using genetic algorithm and CNN classifier. It is result of EECS289 Spring2018 final project.

geneticexperiment

Generating MNIST images from a CNN

geneticlearning

Machine and Deep Learning algorithms to replace multi-objective functions in Genetic Algorithms

geneticmlp

Implementation of a Multilayer Perceptron in Keras using a Genetic Algorithm (PonyGE2 Grammatical Evolution)

geneticnas

The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.

gesturerecognitionusingcnn_geneticalgo

gimagescraper

scrapes images from google for machine learning purposes.

gnnpapers

Must-read papers on graph neural networks (GNN)

gnrproject

Learning to count using CNN boosting

go

The Open Source Data Science Masters

gobot

Golang framework for robotics, drones, and the Internet of Things (IoT)

google-research

Google AI Research

gradient-descent-scratch

graphs_networkflowandpatternrecognition

Deep learning with CNN and Machine Learning with Regression, Classification, Singular Value Decomposition, Boosting

grasp-and-lift-eeg-challenge

Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge

grep

GRoup Emotion Parser: A random recurrent deep ensemble based feature extraction framework.