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Intended purpose - central list for use cases and available code corresponding to the case (something like GSBPM Resources Repository)
This kind of place has good potential, but has to be designed in advance so that there is minimum effort needed to maintain.

Theme	Title	Country/Organisation	Statistics Area	ML methods	Data Source	Programming Language	Programme code
Imagery Analysis	Address Register Automated Image Recognition (AIR) model	Australia	Geospatial statistics	Convolutional neural network	Aerial imagery	R
Imagery Analysis	Learning statistical information from images: a proof of concept (UPDATED)	Netherlands	Geospatial statistics, Income-based poverty statistics	Convolutional neural network	Aerial imagery, Satellite imagery	Python
Imagery Analysis	Arealstatistik Deep Learning (ADELE) (UPDATED)	Switzerland	Geospatial statistics	Convolutional neural network, Random forest	Satellite imagery, Administrative data	Python
Imagery Analysis	Use of Landsat satellite data for the mapping of urban areas in non-census years (UPDATED)	Mexico	Geospatial statistics, Urban statistics	Convolutional neural network, Extra tree	Satellite imagery	Python
Imagery Analysis	Generic Pipeline for Production of Official Statistics Using Satellite Data and Machine Learning (UPDATED)	UNECE	Not applicable		Not applicable	Not applicable
Edit & Imputation	Imputation of the variable “Attained Level of Education” in Base Register of Individuals (UPDATED)	Italy	Education statistics	Multilayer perceptron, Log linear	Administrative data, Survey data, Census data	Python	GitHub link
Edit & Imputation	Imputation in the sample survey on participation of Polish residents in trips (UPDATED)	Poland	Tourism statistics	CART, Random forest, Optimal weighted nearest neighbor, Support vector machine	Survey data	R
Edit & Imputation	Machine learning for imputation (UPDATED)	Germany	?	K-nearest neighbors, Bayesian network, Random forest, Support vector machine	Survey data	R
Edit & Imputation	Early estimates of energy balance statistics using machine learning (UPDATED)	Belgium VITO	Energy statistics, Economic and financial statistics, Weather statistics	Lasso regression, Linear regression, Neural network, Random forest, Ridge regression		Python	GitHub link
Edit & Imputation	Editing of Living Cost and Food Survey Income data (UPDATED)	UK
Edit & Imputation	Editing in the Italian Register of the Public Administration (UPDATED)	Italy	Economic and Financial statistics	Decision tree, Random forest	Administrative data	R
Edit & Imputation	Machine Learning for Data Editing Cleaning in NSI : Some ideas and hints (NEW)	Italy
Coding & Classification	Occupation and Economic activity coding using natural language processing - with comments (UPDATED)	Mexico	Demographic and social statistics, Economic and financial statistics, Labor statistics	Extra tree, Naive bayes, XGBoost, Support vector machine, Multilayer perceptron, Decision tree, Random forest, K-nearest neighbors, Logistic regression, Ensemble	Survey data	Python	File attachment
Coding & Classification	Industry and Occupation Coding (UPDATED)	Canada	Labor statistics, Business statistics	FastText	Survey data	Python	GitHub link
Coding & Classification	Sentiment Analysis of twitter data (UPDATED)	Belgium Flanders	Life statistics	Word embedding, Logistic regression, XGBoost, Random forest	Social media data	Python	GitHub link
Coding & Classification	Coding textually described data on economic activity collected from Labour Force Survey (UPDATED)	Serbia
Coding & Classification	Coding Workplace Injury and Illness (UPDATED)	USA	Labor statistics	Neural network	Survey data	Python	GitHub link
Coding & Classification	Production description to ECOICOP (UPDATED)	Poland	Price statistics	Naive bayes, Logistic regression, Random forest, Support vector machine, Neural network	Web scraping data	Python	Github link
Coding & Classification		Australia
Coding & Classification	Automated Coding using the IMF’s Catalog of Time Series (UPDATED)	IMF
Coding & Classification		Iceland
Coding & Classification	Standard Industrial Code Classification by Using Machine Learning (UPDATED)	Norway	Business registration statistics?	Logistic regression, Random forest, Naive bayes, Support vector machine, FastText, Neural network	Administrative data	Python