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Lightweight, useful implementation of conformal prediction on real data.
Repository of 2020 election forecasts built by students of Harvard Gov 1347.
Source code for the pip library for GABRIEL
A guidance language for controlling large language models.
An R modeling language for convex optimization problems.
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.
Course materials for Advanced Topics in Statistical Learning, Spring 2024
Conformal prediction for time-series applications.
Our recommendations for setting up your Visual Studio Code
Word counts and readability statistics in R markdown documents
Methods for online conformal prediction.
Code for reproducing the main figures in https://arxiv.org/abs/2106.00170.
Download ⬇️ Qualtrics survey data directly into R!
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.
Replication Data for: Division Does Not Imply Predictability: Demographics Continue to Reveal Little About Voting and Partisanship
Data and code behind the articles and graphics at FiveThirtyEight
Repo for Yale Applied Empirical Methods PHD Course
Statistical analysis of surveys with anchoring vignettes