Jason2Brownlee/CleverAlgorithms resource
Clever Algorithms: Nature-Inspired Programming Recipes observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license no_readme
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: 6088
- days_rel: n/a
- days_push: 621
- n_releases_24m: 0
Adoption not part of the score
2116 stars · 341 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source book, 'Clever Algorithms: Nature-Inspired Programming Recipes', providing structured descriptions, pseudo-code, and Ruby code examples for 45 algorithms from computational intelligence and metaheuristics. The repository contains the TeX source for the 438-page ebook, which can be read online for free.
Use cases
- learn how genetic algorithms work with working code examples
- find a consistent reference for implementing swarm intelligence algorithms
- implement stochastic and evolutionary optimization algorithms from pseudo-code
- study neural network and metaheuristic algorithm recipes
- get a handbook of nature-inspired computational problem solving techniques
When to choose
- you want free, structured algorithm descriptions with pseudo-code and Ruby implementations
- you are learning computational intelligence or biologically inspired computation
- you need best-practice usage heuristics and primary references for classic AI algorithms
When to avoid
- you need production-ready, maintained algorithm libraries rather than educational material
- you require implementations in languages other than Ruby
- you need up-to-date coverage of modern deep learning methods
Facets
learning-resource · maturity maintenance
machine-learning math developer-tools artificial-intelligence machine-learning tutorials education cross-platform book metaheuristics computational-intelligence optimization nature-inspired-algorithms ruby tex algorithms
1 source
- homepage: https://CleverAlgorithms.com · fetched 2026-08-29 · 1bb8cb85a2f3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Jason2Brownlee/CleverAlgorithms | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Jason2Brownlee/CleverAlgorithms")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem