Ensemble-PyTorch is a unified framework that extends PyTorch with ensemble learning strategies to improve the performance and robustness of deep learning models. It implements classic ensemble methods like voting classifiers and integrates with PyTorch’s training pipeline, allowing users to combine multiple base estimators for better predictive results. The library is maintained as part of the official PyTorch ecosystem.