asia

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

The main CMS for Student Developer Society @ APU made using Laravel Framework

Example Flask app demonstrating the Omise payment gateway

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

Ubucon Asia 2021 Website

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

Module for International Area Studies

Code samples from Solidity Workshop at 2018.jsconf.asia

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

Documentation for a World Wide Brands Competition Challenge for Image Propose Only.

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.

opensource.asia website

Michael Schiltz personal page

First NodeBots Events in Pakistan 🚀

Landing page for Ubucon Asia

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.

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

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

Around The World. A Globally Cool Website

An archive of posts from 2015-2019

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

BDCrops Core module for Magento 2 extensions

Projections for mapping relations between Canada and the Asia Pacific

Testing out Data science Course

Time-travel is an application from which anyone can check the time of major Asian Cities.

USSC CEO Simon Jackman and Luke Mansillo, in conjunction with the USAsia Centre, conducted a two-wave survey on the role of the U.S. in the Asia-Pacific region in 2015 and 2017. The survey was conducted in Australia, China, South Korea, Indonesia, Japan, and India.

A website that holds all the assignments for the Asia Unit in Honors Language Arts 7.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.