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aioe

applied_metrics

A PhD course in Applied Econometrics and Panel Data

bda_m_demos

Bayesian Data Analysis demos for Matlab/Octave

bda_r_demos

Bayesian Data Analysis demos for R

bias-mitigation-using-ai-fairness-360-algorithms

Mitigating Bias in the data using AI Fairness 360 state-of-the-art bias mitigating algorithms

biasmitigation

causalml

Uplift modeling and causal inference with machine learning algorithms

causalml-1

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

cblue

中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

clinical-longformer

Clinical-Longformer

codes_for_articles

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

ddp-workshop

dive

Python code and documentation for DIVE - Dashboard for Interpretable Variable Exploration

doubleml-for-py

DoubleML - Double Machine Learning in Python

econ521

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.

explainable_neural_network

Develop a neural network with shap value explanation. Demo on tubular data.

fairmlhealth

Healthcare-specific tools for bias analysis

fairness

fairness-accuracy tradeoff

grf

Generalized Random Forests

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

hoff-bayesian-statistics

R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

i2b2_2012_preprocessing

public code repository for preprocessing i2b2 2012 dataset.

interpretable-ml-book

Book about interpretable machine learning

itversity-books

kdd2021-tutorial

EconML/CausalML KDD 2021 Tutorial

learning-fair-representations

Python numba implementation of Zemel et al. 2013

liverec

medical-dialogue-system