- More about AI & Cities
- More about the work of the AI Team & Past interns
- Code
- Data & APIs & Maps
- Cool examples
- Other books, tools, etc
- The
Amsterdam Intelligene websiteand our ownInternship Stories
The tada principlesAgenda AIMagazine Amsterdamse intelligentieAI Magazine VNGSlides werkgroep AI voor Publieke Diensten (Amsterdamse AI Coalitie en Agenda AI)- New Scientist over AI Tech for People
ENGandNL openresearch.amsterdam- digital platform for research, knowledge, and innovation about Amsterdam and the metropolitan area
Free souftware guidelinesandtechnology code of practicefrom the municipality of Barcelona
- An article about
fair and explainable algorithmsfeaturing our Joosje Goedhart. Rik Helewegen graduated one year earlierby developing his causality-based methodFairTradetogether with the City of Amsterdam.- An article about the
Data Systems Project about predicting crowdedness at public transport stationsthat later grew into Rajeev Kalloe's MSc Data Science graduation research - Ex-intern current AI-Team-er Chris Eijgenstein about his work on
Enhancing 3D City Models - An article about
using algorithms to prevent housing fraudin Amsterdam - an issue which inspired multiple theses projects in the past.
- Posters 2019:
The AI & DS Graduation Fair (DemoDonderdag) - Intern Presentations 2020:
AI & DS on the streets of Amsterdam - Intern Presentations 2020:
AI & DS for the people of Amsterdam - Intern Presentations 2021:
AI & DS for the City of Amsterdam (Part 1) - Intern Presentations 2021:
AI & DS for the City of Amsterdam (Part 2) - Intern Presentations 2022:
Research Directions AI Group - Posters 2022 (Midterm):
The AI & DS Midterm Progress Fair (DemoDonderdag) - Intern Presentations 2022:
AI & DS for the City of Amsterdam - Slides:
Amsterdam Intelligence Meetup 2020-10-15 - Video:
ADS Webinar 2021-05-26
Public Thesesof some of our past interns (both AI & DS)- Helwegen, Rik, Christos Louizos, and Patrick Forré.
"Improving Fair Predictions Using Variational Inference In Causal Models."arXiv preprint arXiv:2008.10880 (2020). - Sukel, Maarten, Stevan Rudinac, and Marcel Worring.
"Multimodal classification of urban micro-events."Proceedings of the 27th ACM International Conference on Multimedia. 2019. - Sukel, Maarten, Stevan Rudinac, and Marcel Worring.
"Urban Object Detection Kit: A System for Collection and Analysis of Street-Level Imagery."Proceedings of the 2020 International Conference on Multimedia Retrieval. 2020.
Opendata AmsterdamRESTful API AmsterdamMaps Amsterdam(Bicycle symbolsadded by Chris)Government Data
Nice (and fun!) example by Jurian Baasof usingopen city data, calculating distances between addresses usingOSRMand visualizing geospatial stuffs withFolium
(a.k.a. what's my model doing and why on earth)
Interpretable ML BookWeights and Biaseshttps://github.com/slundberg/shaphttps://github.com/TeamHG-Memex/eli5https://github.com/marcotcr/limehttps://pypi.org/project/yellowbrick/Article: Top 6 Python Libraries for Visualization(which comparison & examples)
AIF360 ToolkitWorkshop by Emma Beauxis-AussaletBias Disco Blog by Selma Muhammadwith links to other resources and presentation
A Recipe for Training Neural Networks (blog by Andrej Karpathy)- Best Practice Repositories by Microsoft -
Computer VisionandNLP(with many notebooks with examples for common tasks) Project Structure: CookiecutterThe foundation for Best Practices in Machine LearningPythonDataScienceHandbook
draw.ioLucidchartPiktochartsketchboard.ioCanva(great for posters)Miro(tons of great templates for roadmaps, project planning, retros, workshops)
Mathpix- a tool for converting snipped formulas to corresponding Latex codeLaTeX Best Practices (ACM)Conference Poster Templates