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GitHub_collection_pykan/tutorials
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kindxiaoming c903302e87 solve conflict
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.ipynb_checkpoints
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API_1_indexing.ipynb
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API_2_plotting.ipynb
Adding the parameter auto_save=True to the KAN() constructor in the tutorials ensures that the tutorials can be run without bugs when the prune function is called.
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API_3_extract_activations.ipynb
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API_3_grid.ipynb
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API_4_initialization.ipynb
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API_6_training_hyperparameter.ipynb
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API_7_pruning.ipynb
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API_9_video.ipynb
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API_create_dataset.ipynb
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Example_1_function_fitting.ipynb
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Example_2_speed_up.ipynb
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Example_3_deep_formula.ipynb
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Example_4_classfication.ipynb
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Example_5_special_functions.ipynb
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Example_6_PDE_interpretation.ipynb
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Example_7_PDE_accuracy.ipynb
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Example_8_continual_learning.ipynb
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Example_8_scaling.ipynb
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Example_9_singularity.ipynb
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Example_10_relativity-addition.ipynb
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Example_11_encouraing_linear.ipynb
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Example_12_unsupervised_learning.ipynb
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Example_13_phase_transition.ipynb
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Interp_1_Hello, MultKAN.ipynb
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Interp_2_Advanced MultKAN.ipynb
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Interp_3_KAN_Compiler.ipynb
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Interp_4_feature_attribution.ipynb
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Interp_5_test_symmetry.ipynb
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Interp_6_test_symmetry_for_trained_models.ipynb
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Interp_7_Building_in_structural_biases.ipynb
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MultKAN_tutorial.ipynb
add KAN back
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todo
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Unchecked_API_8_checkpoint.ipynb
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Unchecked_API_10_device.ipynb
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Unchecked_physics_informed_kan.ipynb
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Unchecked_protein_sequence_classification.ipynb
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Unchecked_symbolic_regression.ipynb
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