Yijing Li's repositories
dowhy
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 graphical models and potential outcomes frameworks.
CausalPy
A Python package for Bayesian causal inference in quasi-experimental settings
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics)
trustworthyAI
trustworthy AI related projects
SDSC_22_workshop
This repository contains the materials for one of the Spatial Data Science Conference (2022) workshops, ran by Gladys Kenyon and Juan Ramon Selva
Python-for-ArcGIS-Pro
Code Repository for Python for ArcGIS Pro, Published by Packt
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
comparecitycrime.github.io
collaborative project on comparing crime changes against the COVID-19 pandemic among global cities
transport
NISMOD v2 Transport Model is a national-scale (Great Britain) transport model developed to support policy making regarding the future infrastructure
online-harms-docker
A version of the Online Harms Metatool which runs as a Docker container
Teaching_Links
A repo of teaching resources for Geographic / Spatial Data Science, GIS and Statistics
gov-uk-rap-materials
Learning materials describing Reproducible Analytical Pipeline
road-data-dump
Code to download all England road traffic data once per month
climate-change-data
:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change
community-visualizations
A set of community visualisations for Google Data Studio created by the Data Science Campus
DSCA_introNLPpython
Introduction to Natural Language Processing in Python
DSCA_intermediate-python
Repo for intermediate python course materials
covid-19-vulnerability
COVID-19 Vulnerability Index for neighbourhoods and Local Authorities in the UK
book
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
natural-capital-mapping
Natural Capital Mapping
google-mobility-reports-data
Archive of data extracted from the google community mobility reports
green-spaces
Render GeoJSON polygons over aerial imagery and analyse pixels covered by vegetation; used to calculate green spaces in residential gardens
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
energy-efficiency
Predicting energy efficiency from Energy Performance Certificates (EPC) using machine learning
osm-vis
OSMvis is a collection of visualizations related to OpenStreetMap (OSM), using techniques from information visualization.
Hate-Crime-Project
These are the scripts written during the Hate Crime project.