anqizhang1's repositories
applied_metrics
A PhD course in Applied Econometrics and Panel Data
BDA_R_demos
Bayesian Data Analysis demos for R
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
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
DIVE
Python code and documentation for DIVE - Dashboard for Interpretable Variable Exploration
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"
i2b2_2012_preprocessing
public code repository for preprocessing i2b2 2012 dataset.
interpretable-ml-book
Book about interpretable machine learning
MEPS
This repository provides example code for loading and analyzing data from AHRQ's Medical Expenditure Panel Survey (MEPS). More information about the survey and access to public use data files is available on our website
NYUTron
public code repository for paper "Health system scale language models are general purpose clinical prediction engines"
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
rstan
RStan, the R interface to Stan
synthea
Synthetic Patient Population Simulator
Twitter-API-v2-sample-code
Sample code for the Twitter API v2 endpoints
US-AI-Patents
Code and Data for Text Classification of AI Related Patents Research Paper
YLearn
YLearn, a pun of "learn why", is a python package for causal inference