zjt9101 Goto Github PK

accbpg

Accelerated Bregman Proximal Gradient Methods

advanced-text-analysis-2

apgpy

Accelerated proximal gradient package in python

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

applied_metrics

A PhD course in Applied Econometrics and Panel Data

blp

blp-1

blp-demand

estimate BLP demand model in Matlab using state-of-the-art techniques

blp-python

BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)

courses

MOSEK reletated course material

dask-examples

Easy-to-run example notebooks for Dask

dask-tutorial

Dask tutorial

davisdingelmonrasmorales

Replication package for "How Segregated Is Urban Consumption?"

dingelmisciodavis

Replication package for "Cities, Lights, and Skills in Developing Economies"

dingelneiman-workathome

"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman

dmlmt

Double Machine Learning for Multiple Treatments

dmlongithub

doubleml-for-py

DoubleML - Double Machine Learning in Python

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.

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

enterprise-registration-data-of-chinese-mainland

estimating-dynamic-corporate

Source code for Bazdresch, Kahn, Whited "Estimating and Testing Dynamic Corporate Finance Models"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

experimentdata

firmlevelrisk

Example code to create firm level risk in Hassan et al. (2020)

gitignore

A collection of useful .gitignore templates

glassdoor-review-scraper

Scrape reviews from Glassdoor

globalfactor

grad-io

Graduate Empirical Industrial Organization

gslab_make

Python tools for GSLab