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CASA, UCL
- @obisargoni
Stars
A library for drawing on maps that supports Mapbox, MapLibre, Google Maps, OpenLayers and Leaflet out the box
A bachelor's thesis in computer science at Jönköping University, in collaboration with the Swedish Forest Agency.
An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
This repository contains teaching materials for CASA0006 (Data Science for Spatial Systems).
A GPU-accelerated computing library for running physics simulations and other GPGPU computations in a web browser.
ESP32/Arduino hack for the ikea OBEGRÄNSAD led wall lamp
Source code for the paper "Demand-driven design of bicycle infrastructure networks for improved urban bikeability" by C. Steinacker, D.-M. Storch, M. Timme, and M. Schröder
List of Computer Science courses with video lectures.
A tool for extracting facility locations and features from OpenStreetMap (OSM) data
Command line utility for processing MATSim events output files.
Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
Course materials for: Geospatial Data Science
Statistical Rethinking course winter 2022
Open Gauges - Open Souce, customisable, 3D Printable Data Gauges
Pedestrians simulation tool for autonomous vehicle (AV) navigation in shared spaces.
A very brief introduction to machine learning
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Uplift modeling and causal inference with machine learning algorithms
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Gower's disatance is a measure to find the similarity between two rows of a dataset consisting of mixed type attributes. It uses the concept of Manhattan distance for continuous variables and dice …
Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?
A Python package of tools to support population synthesizers
Tutorial materials for Social Simulation Fest 2021
A Python package for extracting the Computational Image of the City from geospatial datasets