osofr

simcausal

Simulating Longitudinal and Network Data with Causal Inference Applications

tmlenet

Targeted Maximum Likelihood Estimation for Network Data

Ogburn_etal_simulations

Simulation code and results for https://arxiv.org/abs/1705.08527

gridisl

Discrete SuperLearner with Grid-Search for Longitudinal Data

learning-to-learn-from-data

Code for paper "Learning to learn from data: using deep adversarial learning to construct optimal statistical procedures"

condensier

Non-parametric conditional density estimation with binned conditional histograms

delayed

Dependent delayed computation for R

growthcurveSL

SuperLearner Growth Imputation

SDRsimstudy

Simulation study for "Sequential Double Robustness" manuscript

snowSuperLearner_example

useR2016_networks

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

drat

Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

ltmle

Longitudinal Targeted Maximum Likelihood Estimation package

OnlineSuperLearner

opttx

opttx - Optimal Treatment Estimation

origami

origami - Cross-validation Framework

rmote

Utilities for running R on a remote server

rweekly.org

R Weekly

sl3

New version of SuperLearner

socialnets.sim.study

Simulation study for social networks paper

TargetedLearning.jl