Learning multi-modal representations by watching hundreds of surgical video lectures

[Nature Biomedical Engineering 2023] Decoding surgical activity from videos with a vision transformer

Understanding Different Design Choices in Training Large Time Series Models

Code repository for paper: "General surgery vision transformer: A video pre-trained foundation model for general surgery"

List of surgical tool datasets organised by task.

A toolkit for developing foundation models using Electronic Health Record (EHR) data.

Domain Adaptation for Time Series Under Feature and Label Shifts

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

Code for the emrQA question answering dataset

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

Synthetic Patient Population Simulator

A PyTorch-based knowledge distillation toolkit for natural language processing

Datasets derived from US census data

Generalized Demographic Parity for Group Fairness

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

FairBatch: Batch Selection for Model Fairness (ICLR 2021)

PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.

Official implementation of paper 'Fair Feature Distillation for Visual Recognition'

Factorization Machine models in PyTorch

Counterfactual Regression

library for fair auditing and learning of classifiers with respect to rich subgroup fairness.

simple demo codes for Learning to Teach with Dynamic Loss Functions

Python library with the core algorithms used to do FA*IR ranking.

A post-processing method to create fair rankings wrt ranked group fairness

Dynamic Fair Rankings

final code for fultr