Translation Workflow Automation by determining text difficulty
-
Updated
Sep 25, 2019 - Python
Translation Workflow Automation by determining text difficulty
UN population and GDP data analysis using Pandas and Matplotlib
This repository contains code which accompanies the paper: Assessing Model Behaviour on Extreme Counterfactuals (https://www.researchgate.net/publication/360912277_Assessing_Model_Behaviour_on_Extreme_Counterfactuals)
An assignment on data analysis of demographics using Pandas
A project on UN population and GDP data analysis using Pandas and Matplotlib
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
Backend for a Food Kitchen App named FoodRing created for an Hackathon conducted by Facebook Dev Circles Lahore. All Development was done during a total time period of total 24 hours.
OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.
A statistical analysis mainly over the 'UN: World Happiness Report' data, using Python.
API to interact with UN Digital Library and format output in a more convenient way
Machine Learning pipeline and API for the United Nations Digital Library
This dataset includes important indicators of economic performance and development from 1960-2018, including fields like electricity consumption, GDP per capita, life expectancy, and more.
Add a description, image, and links to the united-nations topic page so that developers can more easily learn about it.
To associate your repository with the united-nations topic, visit your repo's landing page and select "manage topics."