Anastasios Angelopoulos
Anastasios Angelopoulos
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).
rcps
Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
conformal-risk
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
event_based_gaze_tracking
Dataset release for Event-Based, Near-Eye Gaze Tracking Beyond 10,000 Hz
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.
ltt
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
prediction-powered-inference
A statistical toolkit for scientific discovery using machine learning