Lightweight, useful implementation of conformal prediction on real data.
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Updated
Nov 14, 2025 - Jupyter Notebook
Lightweight, useful implementation of conformal prediction on real data.
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 prediction for time-series applications.
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
Spherical conformal map for genus-0 closed surfaces
Implementation of Conformal curvature flow using spin transformations, to achieve a spherical embedding
Conditional coverage metrics for set rules prediction.
Rectangular conformal map for simply-connected open surfaces
Disk conformal map for simply-connected open surfaces
Conformal prediction is a framework for providing accuracy guarantees on the predictions of a base predictor
Implementation of the paper "Injective and Bounded Distortion Mappings in 3D", presented in SIGGRAPH 2013
Zero-trust, local-first FastMCP core for The Undesirables. 34 offline AI agent tools: TCG card grading, conformal risk forecasts (Safe-Hold/Momentum grades), on-chain soul personalities, x402-payable oracle, TTS + 3D forging. No telemetry. BSL 1.1.
GeoFindKey - Conformal transformation
3.75m stockalike curved wraparound (conformal) Drop Tanks with an integrated decoupler for Kerbal Space Program.
Geodesy gnumeric OLS spreadsheets
Copula-based aggregation and context-aware conformal prediction for calibrating renewable energy forecasts.
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