ML libraries I've used in the past and liked (besides Keras & TensorFlow): Scikit-learn, XGBoost, and JAX. I want to learn more about JAX going forward. I haven't used it much so far
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What hyper-parameter optimization libraries you recommend for hyper-parameter search?
KerasTuner. A little known fact is that it can be used for any model, not just Keras models. In fact, it has a built-in Scikit-learn tunerhttps://keras.io/keras_tuner/
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Oh wow.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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