znxzsy / AlignLedger
Human-feedback and data-governance infrastructure for RSI research: annotation, review, provenance and frozen dataset candidates.
Why this job: topics: rlhf, reinforcement-learning
What it does
The project uses the Python standard library and SQLite. There is no frontend build step. A local demo starts with one command and creates synthetic records that cover completed, partial, corrected, and unresolved cases.
Get started
git clone https://github.com/znxzsy/AlignLedger.git
cd AlignLedger
./scripts/run_demo.sh - Maintenance
- Active
- Last commit 12 days ago
- Stars
- 100
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 77% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 77%
- HTML 13%
- CSS 5%
- JavaScript 5%
Topics
- annotation
- annotation-tool
- data-labeling
- data-provenance
- data-quality
- dpo
- human-feedback
- kto
- llm
- multimodal
- reinforcement-learning
- rlhf
Project record
- JobFine-tuning
- StatusListed
- Commits11
- Forks0
- Watching0
- Stars in 28 days0
- CreatedAug 26, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026