Code

To support reproducible research and facilitate further development, the open-source implementations for these projects are available in the GitHub repositories below.

Research Code

Automated Machine Learning (AutoML)

https://github.com/PanyiDong/InsurAutoML

Open-source Automated Machine Learning (AutoML) framework tailored for the insurance domain, automating data preprocessing, hyperparameter optimization, and imbalance learning. Also powers the Informed Data Preparation Pipeline (IDPP) and InformedAutoML.

InsurTech NLP

https://github.com/PanyiDong/InsurTech_NLP

Natural Language Processing toolkit for insurance analytics: sentiment-based rating de-biasing, neural embeddings for high-cardinality business categories, and unsupervised NAICS industry classification with LDA and RAKE.

Software & Tools

SuppsPlit

https://github.com/PanyiDong/SuppsPlit

A Python Wrapper for sPlit, based on Joseph, V. R., & Vakayil, A. (2022). SPlit: An optimal method for data splitting. Technometrics, 64(2), 166-176.

InsurGenAI

https://github.com/PanyiDong/InsurGenAI

An integrated interface for deploying open-source large language models (LLMs).

Panyi Dong