Crazy hyper double optimized selective inference (really forcing the acronym here...)

Knockoffs for controlled variable selection

R package wrapping the Python package adelie.

Structured Data Prediction Error Estimation

FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.

Stanford LaTeX poster template

My notes from class

Rcpp Bindings to FastAD Automatic Differentiation

STATS320: Statistical Methods for Neural Data Analysis

The Imprint Project

GhostKnockoff + BASIL

A timeline package for moderncv

Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend

STATS305C: Applied Statistics III (Spring, 2023)

data on european football player transfers

testing README precedence

Generic grading framework for coding assignments

2020-election-night-model

This is an unofficial LaTeX Beamer presentation template for Stanford University.

A microbenchmark support library

A valgrind mirror with latest macOS support

✨ The all-contributors bot website and documentation. Recognize all contributors, not just the ones who push code ✨

Fast C++ logging library.