Stars
Econ 6905 "Topics in Trade" PhD class at Columbia University
Practical course about Large Language Models.
IPCC-WG1 / Atlas
Forked from SantanderMetGroup/ATLASRepository supporting the implementation of FAIR principles in the IPCC-WGI Atlas
EPFL Machine Learning Course, Fall 2025
Course on 'Climate macroeconomics and finance' - University of Bologna
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Code for "Fiscal and Monetary Policy with Heterogeneous Agents" (Auclert, Rognlie, Straub 2025)
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
Code for the Goethe Heterogeneous-Agent Macro Workshop, June 2024
Public code for running Stochastic Gradient Descent on GPs.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Lecture and conference materials for the DSE2024 at University of Wisconsin-Madison
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
Understanding Deep Learning - Simon J.D. Prince
This is the course material for the Clifirium 2023 conference at the Banque de France
rickecon / CompMethods
Forked from OpenSourceEcon/CompMethods"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
course on the basics of scientific computing for economists
Slides for A Primer in Econometric Theory
Pen and paper exercises in machine learning
Example codes for the SIAM Journal on Scientific Computing (SISC) paper "High-Dimensional Dynamic Stochastic Model Representation"
Deep Learning with TensorFlow 2 and Keras, published by Packt