ZisuWang

Advanced-DID

Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth

HonestDiD

Robust inference in difference-in-differences and event study designs

nt_tool

An award searching project aims to using public data by airlines more efficiently.

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

learn-regex

Learn regex the easy way

econ5170

Econ5170@CUHK: Computational Methods in Economics (2020 Spring).

EC607S20

Causally oriented doctoral econometrics course at UO, taught by Ed Rubin

fall-2020

DScourseS18

ECON 5970: Data Science for Economists, University of Oklahoma (Spring 2018)

lectures

Lecture notes for EC 607

wsl-tutorial

A tutorial about how to run desktop environment inside Windows Subsystem for Linux

notes

Notes

GNNPapers

Must-read papers on graph neural networks (GNN)

ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

customer-review-crawler

A crawler to collect reviews and product information on Amazon.com

DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

AttentionExplanation

optimaltransport.github.io

Web site of the Computational Optimal Transport book

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

tf_rmtpp

Recurrent Marked Temporal Point Processes

cookbook-2nd

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

fnc-1

neurawkes

Source code of The Neural Hawkes Process (NIPS 2017)

tpprl

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018