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coral-ordinal
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)varimpact
Variable importance through targeted causal inference, with Alan Hubbardsuperlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.ck37r
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.atlantic-causal-2017
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competitionPredictive-Modeling-in-R
Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.featurerank
Ensemble feature ranking for SuperLearner variable selectionrandomize_ado
Stata module for random assignment, including blocking, balance checking, and automated rerandomization.hpc-savio-xsede
Multicore and multi-node parallel R computation via SLURM on the Savio cluster at UC Berkeley, plus XSEDEgarden-iot
Automated garden system for my officehtestimate
Horvitz-Thompson estimator for RCTs, with Joel Middletonppmi-challenge-2016
Parkinson's Progression Marker Initiative data science challenge, 2016kp-dsc-2018
Kaiser Permanente Data Science Competition 2018clinsent
Estimate sentiment in clinical notes via keywords or deep learning modelsconcise-r
A concise introduction to R programming and data analysisintrees-stel
Customization of Houtao Deng's inTrees-STEL analysisgmail_add_emails.py
Add a file of emails into a gmail contact list.mimic-clinical-sentiment
Manuscript under reviewtoxic-comments-fastai-pytorch
Analyzing Jigsaw's toxic comments Kaggle challenge using fastai + pytorchvip-polling-place
Determine the polling place for records listed in a text file, using Google's Voter Information Project API.the-matrix-154
Text analytics project for Stat 154 Statistical Learning at UC Berkeley, Fall 2015.rcteval_ado
Stata module to evaluate randomized controlled trials using a systematic methodology.tlmixture
Data-adaptive creation of exposure (treatment) mixtures using targeted learningLove Open Source and this site? Check out how you can help us