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Name: Samuel
Type: User
Bio: I am a software engineer who is passionate about how tech can help solve everyday challenges.
Location: Dublin, Ireland
Name: Samuel
Type: User
Bio: I am a software engineer who is passionate about how tech can help solve everyday challenges.
Location: Dublin, Ireland
A messages UI library for Android
Angular Tutorial App
Android application that shows recipes and tutorial videos for various sumptuous meals
Transfer learning for time series classification
A full-of-features, easy-to-customize, free and open source, light-weight, Android dashboard library for icon packs.
Repository for first project of Term 2: Udacity Android Nanodegree
Andela - Google Cloud Pase II
Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dataset)
A technical report on convolution arithmetic in the context of deep learning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
REST API for the Angular Journal App
Attention mechanism Implementation for Keras.
A Simple Stacked LSTM Model for Stock Market Behaviour Prediction
Android application that displays movie data to users
Stage two of the Android Nanodegree Movie App
Openshift apps
Sick of the same-old?
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Android application that parses JSON data to give details about various sandwiches
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Program that generates weather information for various locations around the world
Android application for the Udacity-Android Nanodegree Program
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.