A customizable pipeline for data extraction from MIMIC-IV.

Diagrams of concepts in physics/chemistry/ML

Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

Deep Learning Summer School 2018

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

Awesome literature on imbalanced learning on graphs

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Understanding Deep Learning - Simon J.D. Prince

Tabular Deep Learning Library for PyTorch

RelBench: Relational Deep Learning Benchmark

A pytorch implementation of Time-series Generative Adversarial Networks (https://github.com/jsyoon0823/TimeGAN)

Repository for 2022 BIBM Patient-GAT paper.

python library for graphical and continuous representations of ICD9 and ICD10 codes

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

🟠 A study guide to learn about Graph Neural Networks (GNNs)

Platform for designing and evaluating Graph Neural Networks (GNN)

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

Reproducing results of "Variationally Regularized Graph-based Representation Learning for Electronic Health Records" paper

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

[ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.