MD-ALL-SHAHRIA

MD-ALL-SHAHRIA/pulseair

Wearable air-quality risk forecasting with rigor-first evaluation — persistence floors, rolling-origin CV, GAN/SMOTE ablation, conformal prediction. Ships pulsebench, a standalone toolkit for evaluating imbalanced time-series models.

6 good first / help-wanted issues · Python · last activity Sep 22, 2026

air-quality benchmark class-imbalance conformal-prediction cross-validation ctgan edge-ai environmental-monitoring esp32 explainable-ai machine-learning model-evaluation onnx pytorch reproducible-research scikit-learn shap synthetic-data time-series uncertainty-quantification
6 Open Issues Need Help Last updated: Sep 22, 2026

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enhancement good first issue pulsebench
MD-ALL-SHAHRIA/pulseair
0

Wearable air-quality risk forecasting with rigor-first evaluation — persistence floors, rolling-origin CV, GAN/SMOTE ablation, conformal prediction. Ships pulsebench, a standalone toolkit for evaluating imbalanced time-series models.

Python
#air-quality#benchmark#class-imbalance#conformal-prediction#cross-validation#ctgan#edge-ai#environmental-monitoring#esp32#explainable-ai#machine-learning#model-evaluation#onnx#pytorch#reproducible-research#scikit-learn#shap#synthetic-data#time-series#uncertainty-quantification
MD-ALL-SHAHRIA/pulseair
0

Wearable air-quality risk forecasting with rigor-first evaluation — persistence floors, rolling-origin CV, GAN/SMOTE ablation, conformal prediction. Ships pulsebench, a standalone toolkit for evaluating imbalanced time-series models.

Python
#air-quality#benchmark#class-imbalance#conformal-prediction#cross-validation#ctgan#edge-ai#environmental-monitoring#esp32#explainable-ai#machine-learning#model-evaluation#onnx#pytorch#reproducible-research#scikit-learn#shap#synthetic-data#time-series#uncertainty-quantification
MD-ALL-SHAHRIA/pulseair
0

Wearable air-quality risk forecasting with rigor-first evaluation — persistence floors, rolling-origin CV, GAN/SMOTE ablation, conformal prediction. Ships pulsebench, a standalone toolkit for evaluating imbalanced time-series models.

Python
#air-quality#benchmark#class-imbalance#conformal-prediction#cross-validation#ctgan#edge-ai#environmental-monitoring#esp32#explainable-ai#machine-learning#model-evaluation#onnx#pytorch#reproducible-research#scikit-learn#shap#synthetic-data#time-series#uncertainty-quantification
MD-ALL-SHAHRIA/pulseair
0

Wearable air-quality risk forecasting with rigor-first evaluation — persistence floors, rolling-origin CV, GAN/SMOTE ablation, conformal prediction. Ships pulsebench, a standalone toolkit for evaluating imbalanced time-series models.

Python
#air-quality#benchmark#class-imbalance#conformal-prediction#cross-validation#ctgan#edge-ai#environmental-monitoring#esp32#explainable-ai#machine-learning#model-evaluation#onnx#pytorch#reproducible-research#scikit-learn#shap#synthetic-data#time-series#uncertainty-quantification
good first issue pulsebench reproducibility
MD-ALL-SHAHRIA/pulseair
0

Wearable air-quality risk forecasting with rigor-first evaluation — persistence floors, rolling-origin CV, GAN/SMOTE ablation, conformal prediction. Ships pulsebench, a standalone toolkit for evaluating imbalanced time-series models.

Python
#air-quality#benchmark#class-imbalance#conformal-prediction#cross-validation#ctgan#edge-ai#environmental-monitoring#esp32#explainable-ai#machine-learning#model-evaluation#onnx#pytorch#reproducible-research#scikit-learn#shap#synthetic-data#time-series#uncertainty-quantification
enhancement good first issue pulsebench
MD-ALL-SHAHRIA/pulseair
0

Wearable air-quality risk forecasting with rigor-first evaluation — persistence floors, rolling-origin CV, GAN/SMOTE ablation, conformal prediction. Ships pulsebench, a standalone toolkit for evaluating imbalanced time-series models.

Python
#air-quality#benchmark#class-imbalance#conformal-prediction#cross-validation#ctgan#edge-ai#environmental-monitoring#esp32#explainable-ai#machine-learning#model-evaluation#onnx#pytorch#reproducible-research#scikit-learn#shap#synthetic-data#time-series#uncertainty-quantification