aangelopoulos/conformal-time-series

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MIT License
Created over 1 year ago
Updated about 1 year ago

aangelopoulos/conformal-time-series

aangelopoulos

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Conformal prediction for time-series applications.

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

Jupyter Notebook

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).

Jupyter Notebook

ppi_py

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

rcps

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

prediction-powered-inference

A statistical toolkit for scientific discovery using machine learning

Jupyter Notebook

event_based_gaze_tracking

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

ltt

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

Jupyter Notebook

conformal-risk

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

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.

cfr-covid-19

Implementation of https://arxiv.org/abs/2003.08592

private_prediction_sets

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

online-conformal-decaying

Jupyter Notebook

conformal-triage

Jupyter Notebook