cfregly/ai-performance-engineering
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A well-known project done right. Strong docs and solid engineering throughout.

Top 16% of 5,156 graded repos

Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.

Documentation78
Engineering90
Health100
Python1,622Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

5 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    README12pt

    Show a quick-start snippet so contributors can see what using your project looks like.

  3. 3
    README12pt

    Add CI/build status badges from shields.io or your CI provider to signal project health.

  4. 4
    Install and run instructions9pt

    Add a section showing how to start or use the project.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

78

Install and run instructions9pt55

README documents how to install the project.

README12pt75

README is present.

License6pt100

Licensed under Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

90

Tests18pt80

Test files detected (code/ch16/gpt_quick_test.py).

Reproducibility6pt80

Lockfile present (code/ch01/requirements.txt). Installs are reproducible.

CI/CD14pt100

CI is configured (code/.github/workflows/benchmark-validation.yml).

Linting and formatting5pt100

Linter or formatter configured (code/dashboard/web/.eslintrc.json).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (code/ch01/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)
  • 229
    Forks
  • 0
    Releases

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 1,622
    Watchers

Responsiveness

  • 4d 13h
    Median issue response
  • 3h
    Median PR merge time
  • 2
    Open issues
Repository files11 root entries
  • .claude
  • code
    Good: Test files detected (code/ch16/gpt_quick_test.py).
    Good: CI is configured (code/.github/workflows/benchmark-validation.yml).
    Good: Linter or formatter configured (code/dashboard/web/.eslintrc.json).
    Good: Lockfile present (code/ch01/requirements.txt). Installs are reproducible.
    Good: Environment pinned via code/third_party/TransformerEngine/.github/actions/build-pytorch-wheel/Dockerfile.
    Good: Issue or PR templates present.
    Good: Security policy present.
    Good: Dependency manifest found (code/ch01/requirements.txt).
  • docs
  • img
  • meetups
  • resources
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • 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.
    Issue: No run or usage instructions found (−45 pts).Fix: Add a section showing how to start or use the project.
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