Roy Chen's repositories
ml_for_econometricians
Slides and demo script for a talk for IMF econometricians on machine learning
ACE592_Luoye
luoyec2@illinois.edu
auk
Working with eBird data in R
awesome-economics
A curated collection of links for economists
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
bbs-forecasting
Research on forecasting using Breeding Bird Survey data
Columbia-MA-Math-Camp-2019
Hosting course material for Math Camp 2019 for the MA program at Columbia
cs446
CS446: Machine Learning in 2018 Spring, UIUC
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepIV
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
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.
EGRET
An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS). http://usgs-r.github.io/EGRET/
Enterprise-Registration-Data-of-Chinese-Mainland
**大陆 31 个省份1978 年至 2019 年一千多万工商企业注册信息，包含企业名称、注册地址、统一社会信用代码、地区、注册日期、经营范围、法人代表、注册资金、企业类型等详细资料。This repository is an dataset of over 10,000,000 enterprise registration data of 31 provinces in Chinese mainland from 1978 to 2019.【工商大数据】、【企业信息】、【enterprise registration data】。
gssurgo
Python package enabling an open source gSSURGO workflow
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
interpretable_machine_learning_with_python
Practical techniques for interpreting machine learning models.
jupyter_nbextensions_configurator
A jupyter notebook serverextension providing config interfaces for nbextensions.
matplotlib-cheatsheet
Matplotlib 3.1 cheat sheet. From an upcoming book on matplotlib.
MicromsgHistory
导出并分析微信聊天记录，生成词云。
modis_tile
tiles for modis sinusoidal projections, but provided on geographic coords
mostly-harmless-replication
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
pyCraft
Python minecraft client library
pylogit
A python package for estimating conditional logit models.
ResEcon703
Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
respy
Python package for the simulation and estimation of a prototypical finite-horizon dynamic discrete choice model
SuperLearner
Current version of the SuperLearner R package