dmcinerney Goto Github PK

2017-hare-and-hounds

b3-time-flies-like-an-arrow

B3-time-flies-like-an-arrow created by GitHub Classroom

c-swm

Contrastive Learning of Structured World Models

cmssw

CMS Offline Software

data-input-covid-microsimulation

dmcinerney.github.io

Personal website

domain-project

ehr-diagnosis-agent

ehr-diagnosis-env

A gym environment for diagnosis that uses information extracted EHRs as observations.

ehr-diagnosis-env-interface

ehr-extraction-models

This repository contains a number of models for performing conditioned extractive summarization on electronic health records.

ehr-extraction-web

A visualization and annotation tool for extractive summarization of electronic health records

gloria

GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition

google-translate-api

A free and unlimited API for Google Translate :dollar::no_entry_sign:

icl-selective-annotation

Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"

jotto

metaicl

An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

microsimulation-parameters.github.io

phd-paper-requirement.github.io

preprocessing-ehr

This repository is a collection of preprocessing scripts used to create various types of datasets from Electronic Health Records

pytt

Pytorch Training and Testing, a module containing advanced and organized batching, training, and testing with multi-gpu and delayed update support

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

summarization

This repository has been created to explore different possible models and techniques for the task of summarization.

tradook

trialstreamer-structured-summary-user-study

Here we create a minimal streamlit interface for a user study on a structured summary interface for trialstreamer.

uniter

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

villa

Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part