→slPyTorch and scikit-learn
Complements
PyTorch and scikit-learn serve complementary roles in the Python ML ecosystem. PyTorch excels at deep learning with GPU acceleration, while scikit-learn provides traditional machine learning algorithms. Many practitioners use both: scikit-learn for data preprocessing and baseline models, PyTorch for neural networks.
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