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VectorInstitute/fed-rag
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
144 28 +0/wk
GitHub
deep-learning federated-learning llms machine-learning rag
Trend
0
Star & Fork Trend (27 data points)
Stars
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Growth Velocity
VectorInstitute/fed-rag has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | fed-rag | Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits | awesome-AI-kubernetes | MSML |
|---|---|---|---|---|
| Stars | 144 | 144 | 144 | 144 |
| Forks | 28 | 88 | 46 | 29 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Jupyter Notebook | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | Apache-2.0 | Apache-2.0 |
Capability Radar vs Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
fed-rag
Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 97
Fork-to-star ratio: 19.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.