LEMoN: Label Error Detection using Multimodal Neighbors

[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization

A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch

A benchmark for distribution shift in tabular data

A lightweight system for launching grids of Python jobs in a Slurm cluster.

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

Sample end-to-end pipeline over MIMIC-IV demonstrating the Event Stream GPT code base.

Attributing model performance changes to distribution shifts in causal mechanisms.

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Improving the Fairness of Chest X-ray Classifiers

Creating predictive checklists from data using integer programming.

Causal data augmentation for pretraining debiasing

An Empirical Framework for Domain Generalization In Clinical Settings

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

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

DomainBed is a suite to test domain generalization algorithms

Quantifying biases in BERT embeddings pretrained on MIMIC-III clinical notes

repository for Publicly Available Clinical BERT Embeddings