ATOM00blue / machine-learning-library
Custom APRL machine-learning algorithm + a curated ML knowledge base of 923 papers, lectures, and explainers. NumPy classifier/regressor, tests, benchmarks, provenance, Obsidian, and agent-ready Markdown.
Why this job: says: knowledge base
What it does
Machine learning repositories often provide either code without enough conceptual context or learning material without a concrete system to experiment with. This project keeps both in one place: APRL provides an inspectable learning algorithm, while the curated corpus provides the theory, provenance, and educational context around it.
Get started
python -m pip install -e .
python examples/aprl_quickstart.py - Maintenance
- Active
- Last commit 3 months ago
- Stars
- 265
- +4 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 3 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- arxiv
- corpus
- dataset
- deep-learning
- education
- llm
- machine-learning
- nlp
- study-resources
- transformers
Project record
- JobRAG and search
- StatusListed
- Commits11
- Forks37
- Watching1
- Stars in 28 days+8
- CreatedMay 28, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026