fitrialif Goto Github PK
Name: Mohd Fitri Alif Bin Mohd Kasai
Type: User
Bio: Data Scientist at Cre8iot
Location: Malaysia
Name: Mohd Fitri Alif Bin Mohd Kasai
Type: User
Bio: Data Scientist at Cre8iot
Location: Malaysia
A simple library for the genetic evolution of a neural network with keras
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
Novel molecules generation with LSTM
Implement some interesting genetic and CNN algorithms
Re-written the genetic algortihm from data-science-2 in Python
This project tunes a Convolutional Neural Network using a genetic algorithm for Image Classification.
Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
CNN architecture exploration using Genetic Algorithm
CNN architecture exploration using Genetic Algorithm
Evolving CNN Hyper-Parameters for Computer Vision
source code from the book Genetic Algorithms with Python by Clinton Sheppard
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.
Generating MNIST images from a CNN
Machine and Deep Learning algorithms to replace multi-objective functions in Genetic Algorithms
Implementation of a Multilayer Perceptron in Keras using a Genetic Algorithm (PonyGE2 Grammatical Evolution)
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.
scrapes images from google for machine learning purposes.
Must-read papers on graph neural networks (GNN)
Learning to count using CNN boosting
The Open Source Data Science Masters
Golang framework for robotics, drones, and the Internet of Things (IoT)
Google AI Research
Deep learning with CNN and Machine Learning with Regression, Classification, Singular Value Decomposition, Boosting
Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge
GRoup Emotion Parser: A random recurrent deep ensemble based feature extraction framework.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.