yu-group Goto Github PK

adaptive-wavelets

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

clinical-rule-vetting

Learning clinical-decision rules with interpretable models.

covid19-dashboard

Dashboard for comparing different counties.

covid19-matching

covid19-severity-prediction

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

dgpoix

Generate synthetic data that is as fresh as the real thing

epistasis-cardiac-hypertrophy

Code for manuscript "Epistasis regulates genetic control of cardiac hypertrophy"

imodels-experiments

Experiments with experimental rule-based models to go along with imodels.

interaction_selection

code for interaction selection

iterative-random-forest

Python implementation of iterative-random-forests

mjo

Interpretable forecasting of the Madden-Julian Oscillation

molecular-partner-prediction

Predicting successful CME events using only clathrin markers. 🦠📈

neuroimaging-analysis

Analysis of neuroimaging tissue from the Berkeley Advanced Imaging Center.

r-dev

Materials for Yu Group software series R presentation on 04/27/2022.

simchef

An R package to facilitate PCS simulation studies.

stadisc

Code and notebooks to reproduce results in the staDISC paper.

stadrip

Code and PCS documentation for staDRIP paper

stanmf

stability driven NMF

stat-215a-fall-2020

STAT 215A course website for Fall 2020.

stat-215a-fall-2021

stat-215a-fall-2022

stat-215a-fall-2023

transfer-learning

Understanding transfer learning.

vdocs

An R package for beautiful and easy documentation of PCS-style analyses

vds-book-supplementary

veridical-flow

Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.

vthemes

An R package with modern themes for ggplot2 and R Markdown documents

yugroup-website

Website for yu group