My personal website and blog (http://martiansideofthemoon.github.io)

Causal machine learning pipeline using tlverse/sl3

Awesome Multitask Learning Resources

A course catalog with extremely fast full-text search

An application for reading health data from third-party APIs.

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Nonlinear time series analysis in R

Time series analysis in the `tidyverse`

Hierarchical and Grouped Time Series

Tools for conformal inference in regression

Tools for time series analysis and forecasting

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Tensorflow implementation for Robust Adversarial Reinforcement Learning: https://arxiv.org/pdf/1703.02702.pdf

estimatr: Fast Estimators for Design-Based Inference

A comprehensive, user-friendly toolkit for visualizing and analyzing statistical interactions. A spinoff from the `jtools` package.

Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors

The xyz algorithm for fast interaction search in high-dimensional data.

↙️ ↘️ An R package for working with causal directed acyclic graphs (DAGs)

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

📦 🎲 R/medshift: Causal Mediation Analysis for Stochastic Interventions

🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions

Causal Inference using Bayesian Additive Regression Trees

Transporting intervention effects from one population to another with targeted learning

🎯🎓 Generalized Targeted Learning Framework

Tutorials for time series analysis with tensorflow

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests