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DrivenData runs machine learning competitions to help non-profits, NGOs, governments, and other social impact organizations use data science in service of humanity. Part of DrivenData's mission is to enable data scientists and non-profits to learn from the work that is done in these competitions. To this end, the code submitted by winners is released under an open source license for others to learn from, use, and adapt.

What's in this Repository

This repository contains code prodvided by the winners of competitions hosted on DrivenData. Feel free to browse to any particular competition's winning repository or just clone all of the winning code to learn from!

Winning Submissions

America's Next Top (Statistical) Model
Box-Plots for Education
Countable Care: Modeling Women's Health Care Decisions
From Fog Nets to Neural Nets
Keeping it Fresh: Predict Restaurant Inspections
Naive Bees Classifier
Senior Data Science: Safe Aging with SPHERE
Pri-matrix Factorization
Pover-T Tests: Predicting Poverty
Random Walk of the Penguins
N+1 Fish, N+2 Fish
Power Laws: Forecasting Energy Consumption
Power Laws: Anomaly Detection
Power Laws: Optimizing Demand-side Strategies
Power Laws: Cold Start Energy Forecasting
Sustainable Industry: Rinse Over Run
Open AI Caribbean Challenge: Mapping Disaster Risk from Aerial Imagery
Hakuna Ma-data: Identify Wildlife on the Serengeti with AI for Earth
Open Cities AI Challenge: Segmenting Buildings for Disaster Resilience
Clog Loss: Advance Alzheimer’s Research with Stall Catchers
TissueNet: Detect Lesions in Cervical Biopsies
Wind-dependent Variables: Predict Wind Speeds of Tropical Storms
MagNet: Model the Geomagnetic Field
Genetic Engineering Attribution Challenge
Hateful Memes
Overhead Geopose Challenge
STAC Overflow: Map Floodwater from Radar Imagery
Image Similarity Challenge
Deep Chimpact Challenge
On Cloud N: Cloud Cover Detection Challenge
Mars Spectrometry: Detect Evidence for Past Habitability
NASA Airathon: Predict Air Quality
Where's Whale-do?

Cloning this repository

Note that when any repo containing submodules is cloned, each submodule needs to be initialized else they remain empty.

To avoid explicitly initializing each submodule, use the --recursive flag when cloning:

git clone --recursive

This will download the competition-winners repository, as well as the contents of every submodule in the winners repository.


The code for the prize winners in DrivenData competitions.







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