dnewcome/sagebaker
View on GitHubAn autoresearch-style agentic loop for ML iteration: an LLM edits plugins, trains locally, keeps if better. Plugin/bundle architecture; same code ships to SageMaker. MLflow-integrated, lineage-tracked.
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- Indexed issues
- 9
- Dominant language
- Python
- License
- No license data
- Last GitHub push
- May 11, 2026
- Latest indexed
- Sep 21, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
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- PR merge metrics
- No merged PRs in 30d
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enhancement
Difficulty 5/5 Over a week Newbie friendliness 35/100
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enhancement
Difficulty 5/5 Over a week Newbie friendliness 35/100
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enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 58/100
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Difficulty 4/5 3-5 days Newbie friendliness 52/100
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 58/100
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enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
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enhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
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documentation
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
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enhancement
Difficulty 5/5 Over a week Newbie friendliness 35/100