# mintisan/awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

Repository: https://github.com/mintisan/awesome-kan
Canonical: https://ross.abutalabs.com/products/awesome-kan
License Family: other
Last push: 2026-08-17T02:16:28+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 60
- inputs: {"age_days": 847, "days_push": 17, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3291, forks 317 (observed 2026-08-28T04:07:53.931386+00:00)

## What it is
A curated awesome-list collecting Kolmogorov-Arnold Network (KAN) resources, including papers, libraries, projects, tutorials, and benchmarks. It serves as a reference hub for researchers and developers exploring KANs as alternatives to MLPs.

## Use cases
- find papers on kolmogorov-arnold networks
- discover KAN libraries and implementations
- learn KAN concepts through tutorials
- compare KAN vs MLP research
- find non-python KAN implementations
- track the latest KAN research and projects

## When to choose
- you are researching KAN architectures and need a starting point
- you want a curated index of KAN papers, code, and tutorials
- you are evaluating KANs as an alternative to MLPs

## When to avoid
- you need a runnable KAN implementation rather than a resource list
- you need production machine-learning tooling
- you want general neural network resources unrelated to KANs

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning
- domain: machine-learning, deep-learning, artificial-intelligence, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, kolmogorov-arnold-networks, kan, curated-resources, papers, research

## Member repositories
- mintisan/awesome-kan (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:53.931386+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:22:49.312648+00:00, confidence not recorded.
  - readme: https://github.com/mintisan/awesome-kan (fetched 2026-08-28T04:07:53.931386+00:00, sha 72e609f5478e)
- Data as of 2026-08-30T08:39:29.467469+00:00.