Top 4 Jupyter Notebook Reproducibility Projects
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Quantus
[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
When the updated flow proved reliable across datasets and explainers, we contributed the implementation back to Quantus as an open-source PR. The link is here Fix NonSensitivity metric
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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rubicon-ml
Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
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Topological-Reinforcement-Operator
A neuro-inspired computational framework for modeling memory consolidation in neural networks, with applications from toy models to human connectomics.
Project mention: Memory consolidation via network parsimony: 96x faster than PageRank | news.ycombinator.com | 2025-10-12
Jupyter Notebook Reproducibility discussion
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Index
What are some of the best open-source Reproducibility projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | Quantus | 668 |
| 2 | rubicon-ml | 140 |
| 3 | demo-bank-customer-churn | 40 |
| 4 | Topological-Reinforcement-Operator | 3 |
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