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inference-labs-inc/n-ary_notebooks resource

Notebooks covering mathematical analysis of ZKP building blocks, algorithm implementations of various proof systems, and protocol optimization techniques. observed · 2026-08-28

github.com/inference-labs-inc/n-ary_notebooks · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 63
  • Release rhythm 35
  • Longevity 38

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 545
  • days_rel: n/a
  • days_push: 225
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1727 stars · 22 forks observed · 2026-08-28

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

A collection of Jupyter notebooks providing mathematically precise, pedagogical explanations of zero-knowledge proof building blocks such as the sum-check protocol, multilinear extensions, arithmetic circuits, and the GKR protocol. It includes executable Python examples and visualizations for experimentation, not production-ready cryptographic implementations.

Use cases

  • learn how the sum-check protocol works with worked examples
  • understand multilinear extensions and polynomial interpolation over boolean hypercubes
  • study the GKR protocol and its relationship to circuit depth
  • experiment with small-scale implementations of proof systems
  • build intuition for soundness and error bounds in interactive proofs
  • visualize arithmetic circuits and protocol mechanics

When to choose

  • you want to deeply understand the math behind zk proof systems
  • you prefer interactive, executable notebooks over textbooks
  • you are researching or teaching interactive proof protocols
  • you want to prototype small examples over finite fields

When to avoid

  • you need a production-ready zk-SNARK prover or verifier
  • you need a performant or audited cryptographic library
  • you want a complete protocol specification rather than working notes

Facets

learning-resource · maturity active

interpreter math developer-tools tutorials mathematics python cross-platform zero-knowledge-proofs jupyter-notebooks sum-check-protocol gkr-protocol multilinear-extensions arithmetic-circuits cryptography-education interactive-proofs cryptography algorithms

1 source

Member repositories

RepositoryRoleHealth v2
inference-labs-inc/n-ary_notebooksmain48

For agents

markdown · JSON · MCP: product_card(name="inference-labs-inc/n-ary_notebooks")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem