anqizhang1's repositories
hoff-bayesian-statistics
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
BDA_m_demos
Bayesian Data Analysis demos for Matlab/Octave
Bias-Mitigation-using-AI-Fairness-360-Algorithms
Mitigating Bias in the data using AI Fairness 360 state-of-the-art bias mitigating algorithms
causalml
Uplift modeling and causal inference with machine learning algorithms
Clinical-Longformer
Clinical-Longformer
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.
kdd2021-tutorial
EconML/CausalML KDD 2021 Tutorial
learning-fair-representations
Python numba implementation of Zemel et al. 2013
Meta_learner-for-Causal-ML
This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.
metrics
Python Code for UTexas econometrics
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
mostly-harmless-replication
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
omop-variation
Tools to identify and evaluate heterogeneity in decision-making processes.
py-metrics
A Python package for econometrics
python-cookbook
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
sDTM
Open source implementation of sDTM - supervised Deep Topic Model
seaborn-data
Data repository for seaborn examples
Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
ThreadNet
ThreadNet weaves threads into networks