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repowisedurvesh-thorat/neurocipher
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durvesh-thorat / neurocipher

pythonmain9c2dd79454 linessynced 1mo ago

Code health

9.9out of 10Excellent

This codebase scores 9.9 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.8 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number.

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Lines of code
454
Files
10
Symbols
64
Modules
4
Languages
3

Recent activity

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Commits

No commits indexed yet.

Decisions

  • Avoid additional ML libraries (Keras, scikit-learn, etc.)proposed
  • Serialize model weights using np.savezproposed
  • Use data augmentation via random ±2 pixel translation with np.rollproposed
  • Use SGD then Adam fine-tuning scheduleproposed
  • Use Adam optimizer with specified hyperparametersproposed
  • Use numerically stable softmaxproposed

Needs attention

18 open
  • medium severity. ProposedAvoid additional ML libraries (Keras, scikit-learn, etc.)Auto-proposed decision awaiting review
  • medium severity. ProposedSerialize model weights using np.savezAuto-proposed decision awaiting review
  • medium severity. ProposedUse data augmentation via random ±2 pixel translation with np.rollAuto-proposed decision awaiting review
  • medium severity. ProposedUse SGD then Adam fine-tuning scheduleAuto-proposed decision awaiting review
  • medium severity. ProposedUse Adam optimizer with specified hyperparametersAuto-proposed decision awaiting review

Composition

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python 80%dockerfile 10%markdown 10%

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  • Files10 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 2 entry points→
  • Code healthPer-file scores, 6 open findings, coverage and refactoring targets→
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  • Change couplingFiles that keep changing together, mined from commit history→
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