Anastasios Angelopoulos

conformal-prediction. Lightweight, useful implementation of conformal prediction on real data.

ppi_py. A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

conformal_classification. Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

conformal-time-series. Conformal prediction for time-series applications.

rcps. Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

event_based_gaze_tracking. Dataset release for Event-Based, Near-Eye Gaze Tracking Beyond 10,000 Hz

conformal-risk. Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

prediction-powered-inference. A statistical toolkit for scientific discovery using machine learning

ltt. Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

im2im-uq. Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

private_prediction_sets. Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.

cfr-covid-19. Implementation of https://arxiv.org/abs/2003.08592

gradient-equilibrium. Gradient Equilibrium in Online Learning: Theory and Applications

online-conformal-decaying. Jupyter Notebook

nonmonotonic-crc. Jupyter Notebook

conformal-triage. Jupyter Notebook