Getting some notice. Tests and CI would be the fastest wins.
[RecurrentNN × Regression × Regularized]-base Mouth Opening Estimation via SSL(Semi-supervised Learning).
Documentation
82
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.
README documents how to install the project.
README is present.
Licensed under MPL-2.0.
Engineering
20
No tests detected anywhere in the repository.
→ Add automated tests. They prove the code works and give contributors confidence to make changes.
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.
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.
CI is configured (.github/workflows/release-mac.yml).
Lockfile present (requirements.txt). Installs are reproducible.
Project health
100
Dependency manifest found (requirements.txt).
Repository has a description.
Actively maintained (pushed within the last month).
.gitignore present.
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- —Commits (30d / 90d)
- 2Forks
- 3Releaseslatest 3mo ago
Community
- —Community health
- —authors own >50% of commits
- 25Watchers
Responsiveness
- —Median issue response
- —Median PR merge time
- 0Open issues
Repository files23 root entries
- .githubGood: CI is configured (.github/workflows/release-mac.yml).
- analysis
- experiments
- img
- lib
- logger
- recipes
- .gitignoreGood: .gitignore present.
- app.py
- clean_dataset.py
- compare_onnx.py
- concat_npy.py
- eval.py
- export_onnx.py
- how_to_use_json_or_csv.md
- LICENSEGood: Licensed under MPL-2.0.
- mouth_baker_ui.py
- README_CN.mdGood: README is present.Good: README is well structured with multiple sections.Good: README includes screenshots or visuals. Great for first impressions.Good: README has code examples.Good: README links to a live demo or deployed app.Good: README includes status badges.Good: README documents how to install the project.Good: README documents how to run the project.
- README.md
- requirements.txtGood: Lockfile present (requirements.txt). Installs are reproducible.Good: Dependency manifest found (requirements.txt).
- spk_dict.py
- train_ssl.py
- train.py