hanneshoettinger Goto Github PK
Name: Hannes Hoettinger
Type: User
Company: @Siemens Technology
Location: Vienna, Austria
Name: Hannes Hoettinger
Type: User
Company: @Siemens Technology
Location: Vienna, Austria
Building Amazon Alexa skills with IBM OpenWhisk and Watson
An Alexa skill that allows you to use the Watson Conversation Services with an Alexa Dot or Echo.
Alexa Skill using OpenWhisk, IBM Watson Conversation and Weather Channel Data
A* with thread map using SFML 2.3.2 (https://www.sfml-dev.org)
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of deep learning resources for computer vision
A curated list of awesome Machine Learning frameworks, libraries and software.
Simple project to continuously measure the bandwidth of your home Internet connection
Cloud Foundry buildpack for R (http://www.r-project.org)
Connect-four with MiniMax algorithm and SFML 2.3.2 (https://www.sfml-dev.org)
This application demonstrates the combination of the IBM Watson Conversation and Discovery services.
This was a first test program using QT5. Up to 8 player with Sound output (some audio files of Russ Bray included :) )
This was a first test program using the Google Web Starter Kit (https://developers.google.com/web/tools/starter-kit/).
Interactive, Reactive Web Apps for Python. Dash Is Productive™
Deep Learning Specialization by Andrew Ng on Coursera.
Gesture Recognition Using Neural Networks with Google's Project Soli Sensor
DirectX 3D Visualization of a scene with three objects.
Dockerized Edomi
Library for fast text representation and classification.
Flappybird js <div> fun...Sprite sheet included.
Easy interactive dashboards for R
Game of Life performance test simulating a certain amount of life cycles (Sequential vs OpenMP vs OpenCL)
Setup of Google Unit Test with an example in Visual Studio
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Human Activity Recognition (HAR) using stacked residual bidirectional-LSTM cells (RNN) with TensorFlow. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
Implementation of the Jarvi's March (Gift Wrapping) algorithm. Visualization (single step visible) and performance measurement.
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.