Daniele-Cangi

Daniele-Cangi/Neural-Continuity

Evidence-driven framework for testing whether model transformations preserve declared operational behavior across conversion, quantization, and other transitions.

5 good first / help-wanted issues · Python · last activity Aug 16, 2026

machine-learning ml-testing model-conversion model-validation onnx pytorch quantization reproducibility
5 Open Issues Need Help Last updated: Aug 16, 2026

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enhancement help wanted good first issue
Daniele-Cangi/Neural-Continuity
4

Evidence-driven framework for testing whether model transformations preserve declared operational behavior across conversion, quantization, and other transitions.

Python
#machine-learning#ml-testing#model-conversion#model-validation#onnx#pytorch#quantization#reproducibility
Daniele-Cangi/Neural-Continuity
4

Evidence-driven framework for testing whether model transformations preserve declared operational behavior across conversion, quantization, and other transitions.

Python
#machine-learning#ml-testing#model-conversion#model-validation#onnx#pytorch#quantization#reproducibility
Daniele-Cangi/Neural-Continuity
4

Evidence-driven framework for testing whether model transformations preserve declared operational behavior across conversion, quantization, and other transitions.

Python
#machine-learning#ml-testing#model-conversion#model-validation#onnx#pytorch#quantization#reproducibility
Daniele-Cangi/Neural-Continuity
4

Evidence-driven framework for testing whether model transformations preserve declared operational behavior across conversion, quantization, and other transitions.

Python
#machine-learning#ml-testing#model-conversion#model-validation#onnx#pytorch#quantization#reproducibility
Daniele-Cangi/Neural-Continuity
4

Evidence-driven framework for testing whether model transformations preserve declared operational behavior across conversion, quantization, and other transitions.

Python
#machine-learning#ml-testing#model-conversion#model-validation#onnx#pytorch#quantization#reproducibility