forceinjection/ai-fundamentals

0

/ 100

Documentation75
Engineering39
Health100
HTML1,556Apache-2.01d ago
Grade a repo

Strong community interest, but tests, CI, or docs need work.

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识。

Documentation

75

Contributing guide5pt0

No CONTRIBUTING.md found (−47 pts base + up to −53 pts more for content).

→ Add a CONTRIBUTING.md telling newcomers how to get involved. Include setup, code style, test, and PR instructions.

README12pt75

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Engineering

39

CI/CD14pt0

No CI configuration detected in this repository.

→ If your CI lives elsewhere (a private repo that builds this one) or this project is itself a CI/CD tool, mark this check Not Applicable. Otherwise add a GitHub Actions workflow that runs tests on each push. It takes 15 minutes and reassures contributors their changes won't break things.

Linting and formatting5pt0

No linter or formatter config found.

→ Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.

Issue and PR templates6pt0

No issue or PR templates found (−100 pts).

→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

Tests18pt80

Test files detected (02_npu_programming/04_mindspore/test_mindspore.py).

Reproducibility6pt80

Lockfile present (03_ai_cluster_ops/03_nccl/requirements.txt). Installs are reproducible.

Project health

100

Dependency manifest6pt100

Dependency manifest found (03_ai_cluster_ops/03_nccl/requirements.txt).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • —
    Commits (30d / 90d)
  • 245
    Forks
  • 2
    Releaseslatest 5mo ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 1,556
    Watchers

Responsiveness

  • 8h
    Median issue response
  • <1h
    Median PR merge time
  • 0
    Open issues
Repository files21 root entries
  • 01_hardware_architecture
  • 02_dpu_programming
  • 02_gpu_programming
  • 02_npu_programming
    Good: Test files detected (02_npu_programming/04_mindspore/test_mindspore.py).
  • 03_ai_cluster_ops
    Good: Lockfile present (03_ai_cluster_ops/03_nccl/requirements.txt). Installs are reproducible.
    Good: Environment pinned via 03_ai_cluster_ops/03_nccl/Dockerfile.
    Good: Dependency manifest found (03_ai_cluster_ops/03_nccl/requirements.txt).
  • 04_cloud_native_ai_platform
  • 05_model_training_and_fine_tuning
  • 06_llm_theory_and_fundamentals
  • 07_rag_and_tools
  • 08_agentic_system
  • 09_inference_system
  • 10_ai_related_course
  • 11_ai_native_everything
  • 98_llm_programming
  • 99_misc
  • img
  • .gitignore
    Good: .gitignore present.
  • AGENTS.md
  • CLAUDE.md
  • LICENSE
    Good: Licensed under Apache-2.0.
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Issue: README has no code examples (−15 pts).Fix: Show a quick-start snippet so contributors can see what using your project looks like.
    Good: README links to a live demo or deployed app.
    Issue: No status badges in the README (−10 pts).Fix: Add CI/build status badges from shields.io or your CI provider to signal project health.
    Good: README documents how to install the project.
    Good: README documents how to run the project.