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A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Computational tools for urban analysis
🚲🚶🚌 Web-based 3D visualization of streets using A-Frame
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Datasets & Analyses for Formula 1 World Championship
Resources for undergraduate course in computational macroeconomics.
Materials for Econ 5253 Data Science for Economists course at U of Oklahoma
An open-source platform for macroeconomic model simulation.
A curated list of causal inference libraries, resources, and applications.
A community based Python library for quantitative economics
My "Foundations of Computational Economics" course
A Tutorial for Setting Python Development Environment with VScode and Docker
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This repository consolidates my teaching material for "Causal Machine Learning".
A PhD course in Applied Econometrics and Panel Data
This repository hosts the code behind the online book, Coding for Economists.
A library to generate LaTeX expression from Python code.
Minimalist LaTeX template for academic papers
📺 Discover the latest machine learning / AI courses on YouTube.
Machine Learning and Causal Inference taught by Brigham Frandsen
Open Statistics and Probability Theory course
👩🏻🏫 Slides for OpenIntro Statistics
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.
This is the repository for the slides used in the Seattle University Econometrics course
Notes and exercise attempts for "An Introduction to Statistical Learning"