mrdbourke/m1-machine-learning-test
Benchmarks TensorFlow and scikit-learn machine learning models across Apple Silicon hardware generations.
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Provides Jupyter notebooks that run image classification and regression experiments on M1/M2 chips, measuring training speed and performance for common ML tasks like CIFAR-10 classification and housing price prediction. The repo includes setup instructions for configuring TensorFlow on Apple Silicon and collects comparative benchmark results across different hardware configurations.