# huangruiteng/CS-Notes

我的自学笔记，终身更新

Repository: https://github.com/huangruiteng/CS-Notes
Canonical: https://ross.abutalabs.com/products/huangruiteng-cs-notes
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-24T08:54:18+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2330, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3973, forks 479 (observed 2026-08-28T04:08:30.896280+00:00)

## What it is
A continuously updated collection of self-study notes covering computer science fundamentals, algorithms, programming languages, distributed systems, and AI/ML topics including MLSys and LLMs. Written in Markdown with an AI-assisted note management workflow, maintained by a learner sharing their study path.

## Use cases
- find study notes for computer science fundamentals like operating systems and networks
- learn algorithms and prepare for coding interviews with leetcode notes
- get an introduction to MLSys and LLM systems from a learner's perspective
- review C++ and other programming language study notes
- find beginner-friendly learning paths for distributed systems and machine learning
- read condensed notes on classic textbooks like CSAPP, OSTEP, and APUE

## When to choose
- you want beginner-perspective study notes that follow a realistic learning path
- you need condensed summaries of classic CS textbooks and courses
- you want a broad, continuously updated reference spanning CS fundamentals to AI/MLSys

## When to avoid
- you need authoritative, peer-reviewed documentation or tutorials
- you want structured interactive courses with exercises and grading
- you need production-ready code or tools rather than notes

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: tutorials, developer-tools, computer-vision, large-language-models, operating-systems
- platform: cross-platform
- tags: study-notes, computer-science, self-learning, interview-prep, mlsys, cpp, distributed-systems, algorithms

## Member repositories
- huangruiteng/CS-Notes (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:30.896280+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 2026-08-29T18:24:20.750419+00:00, confidence not recorded.
  - readme: https://github.com/huangruiteng/CS-Notes (fetched 2026-08-28T04:08:30.896280+00:00, sha 61d5b5002f13)
- Data as of 2026-08-30T08:39:29.467469+00:00.