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ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

ai-ml-dl-resources

applied-deep-learning

Applied Deep Learning

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

bartik-weight

bayesian_notes

bootcamp2019

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019

causal-inference-class

consumptionsavingnotebooks

Jupyter Notebook examples of the ConSav package

cps-profiles

Constructing age-earnings profiles from March CPS data

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

deep-learning-ocean

:satellite: All You Need to Know About Deep Learning - A kick-starter

deepequilibriumnets

did

Keeping track of what is going on with the latest DiD innovations.

dse2021

dsge.jl

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

ec525s19

econ-21100

UChicago econ-21100 course

econ-data-science

Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:

econdata

R package containing a host of datasets useful for economic research. Complete with raw data and cleaning functions.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

econometrics

Code and notebooks for Econometric Theory

fgpu

flashlight

A C++ standalone library for machine learning

gpss_replication

GPSS Replication Files

heatmapeco

Public repo for heatmapEco package

ibm-data-science-professional-certification

Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.

intro-to-data-science

job-market-materials