linyingyang

interpret-community

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

BERT-NER

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

CausalReasoningLLM

Causal reasoning benchmarks and tasks for large language models.

Covid-projection

DICE

Code for the paper "The Development and Deployment of a Model for Hospital-level COVID-19 Associated Patient Demand Intervals from Consistent Estimators (DICE)"

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

grf

Generalized Random Forests

SURF-COVID19-ED

Containing models built for Stanford Hospital Emergency Department during COVID19 crisis

linyingyang/CausalReasoningLLM

Causal reasoning benchmarks and tasks for large language models.

linyingyang/BERT-NER

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

linyingyang/Covid-projection

linyingyang/DICE

Code for the paper "The Development and Deployment of a Model for Hospital-level COVID-19 Associated Patient Demand Intervals from Consistent Estimators (DICE)"

linyingyang/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

linyingyang/grf

Generalized Random Forests

linyingyang/SURF-COVID19-ED

Containing models built for Stanford Hospital Emergency Department during COVID19 crisis