Chrisejorge

Causal-Inference

Materials Collection for Causal Inference

Causal_Dirichlet_Mixture

Source code for Lin, A., Lu, J., Xuan, J., Zhu, F., & Zhang, G. (2020). A causal dirichlet mixture model for causal inference from observational data. ACM Transactions on Intelligent Systems and Technology (TIST), 11(3), 1-29.

ACSA

Papers, models and datasets for Aspect-Category Sentiment Analysis.

BertSum

Code for paper Fine-tune BERT for Extractive Summarization

causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

causaldata

Packages of Example Data for The Effect

causalgraphs

R code for causal graph animations

Causalinference

Causal Inference in Python

chatgpt-causality-pairs

Solving the causality pairs challenge (does A cause B) with ChatGPT

COSMOS_MSB

code for the COSMOS study in MSB

credence-to-causal-estimation

A framework for generating complex and realistic datasets for use in evaluating causal inference methods.

deming2019-workshop

:dart: :school_satchel: Materials for a 2-day workshop on Targeted Learning with the tlverse at the 2019 Deming Conference on Applied Statistics

Python

All Algorithms implemented in Python

ExperimentData

ICML-2020-MSBCB

Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

SuPyLearner

An implementation of the SuperLearner algorithm in Python based on scikit-learn.