18.337 - Parallel Computing and Scientific Machine Learning

Causal Inference 1 Mixtape Session taught by Scott Cunningham

This is a repo with links to everything you'd ever want to learn about data engineering

Python package for scraping real estate property data

This repo is for the Linkedin Learning course: Programming Foundations: Algorithms

Replication files for the paper "Risk Aversion in Share Auctions: Estimating Rents from TRQs in Switzerland"

List of Computer Science courses with video lectures.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Algorithmic Thinking with Python: Foundations

Replication of "Artificial Intelligence, Algorithmic Pricing, and Collusion" by Calvano, Calzolari, Denicolò, Pastorello (2020) in Python, Matlab and Julia.

This module builds a normal form game for a discrete auction, to then obtain its Nash Equilibrium.

Demonstration code used or referenced in the lectures

The HTML Presentation Framework

Black-box optimization for Julia

A tutorial walking through the use of Keras-RL for reinforcement learning with OpenAI gym.

Implementation of PIN ( Probability of Informed trading) on A-Share daily public data (based on Yan Y, Zhang S. An improved estimation method and empirical properties of the probability of informed…

Teaching materials from DSE2019 summer school at Chicago Booth

Decoding Democracy Spring 2019

WebGL2 powered geospatial visualization layers

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018