Showing 5 of 5 projects
Automatically builds high-performance interpretable machine learning models with minimal features using a single line of code.
A Python library for class-imbalanced ensemble learning with 30+ algorithms, built on scikit-learn.
Python-based implementations of algorithms for learning on imbalanced data.
A PyTorch-based project for classifying chest X-rays and localizing pathologies using Grad-CAM with fine-tuned CNN models.
Python package for streamlined training, evaluation, and prediction of ML models on cleaned datasets.
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