asia

World Factbook Country Profiles in JSON - Free Open Public Domain Data - No API Key Required ;-)

Example Flask app demonstrating the Omise payment gateway

ETHIndia: India's first ever & Asia's biggest Ethereum hackathon

Module for International Area Studies

Ubucon Asia 2021 Website

Privacy enabled social media app(Web) for People of all ages a secure connection in one tap

Code samples from Solidity Workshop at 2018.jsconf.asia

A Firebase JavaScript based project Application for a World Wide Brands Competition Challenge for Image Propose Only.

an R function to ingest ACLED event data using jsonlite for ingestion and data.table for processing

opensource.asia website

2017 Asia Open Data Hackathon

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine learning techniques to understand and analyze activity patterns of 17 major rebel groups in Asia (including Taliban, Islamic State, and Al Qaeda). It uses classification algorithms such as Random Forest and XGBoost to predict the rebel group responsible for organizing a crisis event based on 14 different characteristics including number of fatalities, location, event type, and actor influenced. The dataset used comes from the Armed Conflict Location & Event Data Project (ACLED) which is a disaggregated data collection, analysis and crisis mapping project. The dataset contains information on more than 78000 incidents caused by rebel groups that took place in Asia from 2017 to 2019. Roughly 48000 of these observations were randomly selected and used to develop and train the model. The final model had an accuracy score of 84% and an F1 Score of 82% on testing dataset of about 30000 new observations that the algorithm had never seen. The project was programmed using Object Oriented Programming in Python in order to make it scalable. Project Floodlight can be further expended to understand other crisis events in Asia and Africa such as protests, riots, or violence against women.

Michael Schiltz personal page

This project implements a multi-language header suggestion service that interacts with Grafterizer and ASIA ecosystem to help the used the annotate a table at schema level in several languages. This work is part of EuBusinessGraph EU project.

First NodeBots Events in Pakistan 🚀

Landing page for Ubucon Asia

openSUSE Asia Summit 2017 Documentations and Slides https://events.opensuse.org/conference/summitasia17

Around The World. A Globally Cool Website

An archive of posts from 2015-2019

A map of foreign direct investment between Canada and the Asia Pacific

This Project give you useful informations about the environement where you are in real time by Using an USB GPS and some API with an Internet Connection.

Testing out Data science Course

My take on the PhpUnit at the workshop conducted by Sebastian Bergmann at PHP Conf Asia 2018.

openSUSE.Asia Summit 2018 LINE Bot - Hack Week # 17

This is an ongoing project to digitize reparation lawsuits against Japanese colonial and wartime atrocities (most famously the "comfort women" system and Nanjing Massacre) into a graph database.

BDCrops Core module for Magento 2 extensions

Kelsey Ang - Dance, Performance, Choreography, Movement Direction and Coaching, Creative Direction in Los Angeles, Hong Kong, Philippines and Singapore

Projections for mapping relations between Canada and the Asia Pacific