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omop-learn

Python package for machine learning for healthcare using a OMOP common data model

omop-variation

Tools to identify and evaluate heterogeneity in decision-making processes.

oncology_rationale_extraction

Functionality from "Automated NLP extraction of clinical rationale for treatment discontinuation in breast cancer"

overlap-code

Code for "Characterization of Overlap in Observational Studies" (AISTATS 2020)

overparam

parametric-robustness-evaluation

Code for paper "Evaluating Robustness to Dataset Shift via Parametric Robustness Sets"

prancer

Platform enabling Rapid Annotation for Clinical Entity Recognition

proxy-anchor-regression

Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)

rct-obs-extrapolation

Code for paper, "Falsification before Extrapolation in Causal Effect Estimation"

sparsityboost

http://cs.nyu.edu/~dsontag/papers/BrennerSontag_uai13.pdf

startbootstrap-clean-blog

A clean Bootstrap blog theme created by Start Bootstrap

structuredinference

Structured Inference Networks for Nonlinear State Space Models

surprising-sepsis

teaching-to-understand-ai

Code and webpages for our study on teaching humans to defer to an AI

theanomodels

A lightweight wrapper around theano for rapid-prototyping of models

trajectory-inspection

Code for "Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies"

vae_ssl

Scalable semi-supervised learning with deep variational autoencoders

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.