wilsoncai1992

PH295-lab

PB HLTH 295, Big Data Seminar (Fall 2016, UC Berkeley)

TMLEbootstrap

bootstrap confidence intervals for Targeted Maximum Likelihood Estimators

MOSS

(Model One-Step Survival): one-step TMLE for survival curve

adaptest

Data-adaptive testing under high-dimensions

onestep.survival

Treatment-specific survival curve estimation via one-step TMLE algorithm

PH290-17Spr

PH290: Big Data for Biostatistics (UC Berkeley, Spring 2017)

stat243_2015_project

STA243 final group project (Fall 2015)

adaptest-data

CS280MiniPlaces

Homework 2 for Berkeley CS 280: our version of the MIT Mini Places challenge

ee227c.github.io

EE227C (Spring 2018) Course page

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

hal9001

hal9001dev

LSTM-Mobility-Model

MOSS-simulation

Reproduce the simulations in Cai W, van der Laan MJ (2019+). One-step TMLE for time-to-event outcomes.

simulation_super_efficient_ate

Simulation of Benkeser D, Cai W, van der Laan MJ (2019+). A nonparametric super-efficient estimator of the average treatment effect.

sl3

💪🤓 🤔 Modern Super Learning using Pipelines

SPV

survtmle

Targeted Learning for Survival Analysis

tensorflow-vgg

Re-implementation of VGG Network in tensorflow

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

thesis-masters-biostat

:black_nib: Biostatistics M.A. thesis: "Generalized application of empirical Bayes statistics to asymptotically linear parameters"

tweet2vec-multiclass

Twitter hashtag prediction

ucbthesis-phd

UC Berkeley PhD thesis template

wilsoncai1992.github.io