Emma Rocheteau (EmmaRocheteau)

EmmaRocheteau

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Location:Cambridge

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Emma Rocheteau's starred repositories

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:25182Issues:1087Issues:562

ivy

The Unified AI Framework

Language:PythonLicense:NOASSERTIONStargazers:14026Issues:70Issues:16874

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Language:Jupyter NotebookLicense:MITStargazers:2573Issues:136Issues:1203

graphein

Protein Graph Library

Language:Jupyter NotebookLicense:MITStargazers:1023Issues:19Issues:152

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

Language:PythonLicense:MITStargazers:799Issues:39Issues:116

pytket

User manual and example notebooks for the pytket quantum SDK

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:321Issues:32Issues:72

AmsterdamUMCdb

AmsterdamUMCdb - Freely Accessible ICU database. Please access our Open Access manuscript at https://doi.org/10.1097/CCM.0000000000004916

Language:Jupyter NotebookLicense:MITStargazers:156Issues:23Issues:67

eICU-GNN-LSTM

This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).

Language:PythonLicense:MITStargazers:102Issues:3Issues:4

TPC-LoS-prediction

This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).

Language:PythonLicense:MITStargazers:76Issues:7Issues:17

One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification

✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

Language:Jupyter NotebookLicense:MITStargazers:68Issues:1Issues:4

MIMIC-IV-Postgres

Installing MIMIC-IV in a local Postgres database

Transfer_learning_melanoma

This project was developed for malignant melanoma diagnosis from photographs by comparing pre-trained transfer learning models and architectures and a simple Convolutional Neural Network. Submitted and accepted to the Machine Learning for Mobile Health Workshop at NeurIPS 2020, Vancouver, Canada.

v158

ML4H Symposium 2021

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