valeman/awesome-conformal-prediction resource

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1291 stars · 118 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of resources on conformal prediction, including tutorials, videos, books, papers, theses, and open-source libraries in Python and R. It serves as the canonical reference hub for distribution-free uncertainty quantification methods in machine learning.

Use cases

• learn conformal prediction from scratch
• find python libraries for prediction intervals
• quantify uncertainty in machine learning models
• find papers on conformal inference
• build calibrated prediction sets for classification
• estimate uncertainty for LLM outputs
• find tutorials on distribution-free inference

When to choose

• you need a comprehensive, regularly updated index of conformal prediction resources
• you are researching or learning uncertainty quantification
• you want links to production-ready conformal prediction libraries

When to avoid

• you need a working software library rather than a resource list
• you need guaranteed licensing clarity (license is unspecified)

Facets

learning-resource · maturity active

machine-learning developer-tools documentation machine-learning data-science artificial-intelligence tutorials awesome-lists python cross-platform conformal-prediction uncertainty-quantification prediction-intervals awesome-list model-calibration trustworthy-ml statistics

Member repositories

For agents

markdown · JSON · MCP: product_card(name="valeman/awesome-conformal-prediction")