Pinned Repositories
100-days-of-code
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
2019_aarhus_critical_data
Tutorials for the 2019 Aarhus Datathon
Cookbook-for-R-Chinese
:books:Cookbook for R 中文翻译
download
佛跳墙官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由
eicu_sofa
fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
GCN-HGT
Prediction of horizontal gene transfer (HGT) using graph convolutional network
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
PyHealth
A Python Library for Health Predictive Models
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
XiangBu's Repositories
XiangBu/download
佛跳墙官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由
XiangBu/GCN-HGT
Prediction of horizontal gene transfer (HGT) using graph convolutional network
XiangBu/PyHealth
A Python Library for Health Predictive Models
XiangBu/AI-health-projects
XiangBu/altair
Declarative statistical visualization library for Python
XiangBu/Ataciguat_aortic_valve
XiangBu/cola
A General Framework for Consensus Partitioning
XiangBu/CommonDataModel
Definition and DDLs for the OMOP Common Data Model (CDM)
XiangBu/COVID-19-comp
XiangBu/covid_macrophages_integration
scRNA-seq data integration from "SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis".
XiangBu/DeepAccNet
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
XiangBu/DeepCAC
Fully automatic coronary calcium risk assessment using Deep Learning.
XiangBu/Discharge-Prediction_eICU-CRD
This repository presents the implementation of different machine learning architectures to determine the efficacy of the Acute Physiology andChronic Health Evaluation (APACHE) IV score as well as the patient characteristics that comprise it to predict the discharge destination for critically ill patients within 24 hours of ICU admission.
XiangBu/eICU-GNN-LSTM
This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).
XiangBu/hif2gene
XiangBu/interpretable-ml-book
Book about interpretable machine learning
XiangBu/KDRI
Eliminating the use of race in kidney graft failure risk prediction.
XiangBu/Machine-Learning-for-Healthcare-Analytics-Projects
Published by Packt
XiangBu/Machine_Learning_Bootcamp
XiangBu/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
XiangBu/MR-project-Heart-failure
XiangBu/PIC_mortality
Predicting In-hospital Mortality of Patients in the Pediatric ICU
XiangBu/pnet_prostate_paper
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
XiangBu/pycaret
An open-source, low-code machine learning library in Python
XiangBu/RA_plasma_metabolomics_2021
Scripts for generating results in Hur et al. "Plasma Metabolomic Profiling in Patients with Rheumatoid Arthritis Identifies Biochemical Features Predictive of Quantitative Disease Activity". Arthritis Research & Therapy, 2021. https://doi.org/10.1186/s13075-021-02537-4
XiangBu/shockalert-documented
Data-driven discovery of a novel sepsis pre-shock state predicts impending septic shock in the ICU
XiangBu/snippet
just some code snippet
XiangBu/stacking_and_explaining
Creating stacked models and explaining single instances with Shap values
XiangBu/StudyNotes
XiangBu/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)