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optimizer-comparison

Here are 2 public repositories matching this topic...

SameetAsadullah / clinical-risk-prediction

End-to-end binary classification pipeline for clinical risk prediction using PyTorch. Includes preprocessing, imbalanced data handling with SMOTE, optimizer benchmarking (SGD vs Adam), and performance visualization (AUC-ROC, Confusion Matrix). Designed to align with healthcare AI applications and model evaluation best practices.

machine-learning torch pytorch diabetes binary-classification imbalanced-data model-evaluation smote sigmoid healthcare-ai clinical-prediction-models optimizer-comparison

Updated Jun 19, 2025
Jupyter Notebook

Shreyaa322 / Optimizers-in-Deep-Learning

Grid search comparison of 5 deep learning optimizers (SGD, Momentum, NAG, RMSProp, Adam) on Mushroom binary classification dataset

python deep-learning tensorflow neural-networks grid-search binary-classification optimizer-comparison

Updated Feb 26, 2026
Python

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