Dimstella's Stars
AliciaCurth/CATENets
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
vanderschaarlab/clairvoyance
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
healthylaife/MIMIC-IV-Data-Pipeline
A customizable pipeline for data extraction from MIMIC-IV.
MIT-LCP/mimic-iv
Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code
AlexKer/federated-metalearning-risk-prediction-ehr
Meta-Learning for Risk Prediction with Limited Patient Electronic Health Records Using PySyft and SyferText
DataX-JieHao/Cox-PASNet
Pathway-based sparse deep neural network for survival analysis
sheryl-ai/MetaPred
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)
ArnovanHilten/GenNet
Framework for Interpretable Neural Networks
udacity/cd0372-Applying-AI-to-EHR-Data
Exercise and Project code for newly disaggregated course from ND320-3
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
MIT-LCP/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
USTC-HIlab/MDNNMD
An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.
multimodal/multimodal
A collection of multimodal datasets, and visual features for VQA and captionning in pytorch. Just run "pip install multimodal"