# the-akira/Computer-Science-Resources

Collection of resources spanning key areas of Computer Science

Repository: https://github.com/the-akira/Computer-Science-Resources
Canonical: https://ross.abutalabs.com/products/computer-science-resources
License Family: other
Topics: awesome-list, computer, programming-language, artificial-intelligence, cryptography, database, cybersecurity, operating-system, mathematics, regular-expression, cloud-computing, quantum-computing, networking, physics, exploits, javascript, python, assembly, computervision, machine-learning
Last push: 2025-09-19T20:07:49+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 42, release rhythm 35, longevity 100
- inputs: {"age_days": 2767, "days_push": 348, "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 2807, forks 320 (observed 2026-08-28T04:07:22.875031+00:00)

## What it is
A curated awesome-list collection of learning materials spanning key areas of Computer Science, including courses, videos, and reference links. It covers fundamentals like algorithms, operating systems, and mathematics as well as specialized topics such as cryptography, machine learning, and quantum computing.

## Use cases
- find resources to learn computer science fundamentals
- locate free courses like CS50 and MIT intro classes
- study materials for cryptography and cybersecurity
- learn machine learning and computer vision from scratch
- find references on operating systems and computer architecture
- get a roadmap for self-studying computer science
- explore quantum computing and cloud computing learning materials

## When to choose
- you want a broad, curated index of CS learning resources in one place
- you are self-studying and need free courses, videos, and reading lists
- you want pointers across many CS subfields from algorithms to quantum computing

## When to avoid
- you need runnable software, libraries, or tools rather than links
- you want a structured interactive course with exercises and grading
- you need up-to-date, vetted content for a specific niche topic

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: tutorials, awesome-lists, education, developer-tools, computer-vision, machine-learning, security, networking, cloud-computing, mathematics, quantum-computing, operating-systems, databases, programming-languages
- platform: cross-platform
- tags: awesome-list, computer-science, learning-materials, curated-resources, self-study

## Member repositories
- the-akira/Computer-Science-Resources (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:22.875031+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 2026-08-30T08:14:28.011348+00:00, confidence not recorded.
  - readme: https://github.com/the-akira/Computer-Science-Resources (fetched 2026-08-28T04:07:22.875031+00:00, sha 687e56158b1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.