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qiskit-machine-learning
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qiskit_machine_learning\algorithms\classifiers\neural_network_classifier.py
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releasenotes\notes\0.2\qgan_gradient_fix-6d2dd8f1b471d8c0.yaml
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qiskit_machine_learning\datasets\ad_hoc.py
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releasenotes\notes\0.3\add-quantum-kernel-trainer-a31bfa1c91a05e32.yaml
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.github\workflows\main.yml
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releasenotes\notes\0.3\callback-for-NN-classifier-regressor-8e1d5c887335e6d9.yaml
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qiskit_machine_learning\kernels\__init__.py
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releasenotes\notes\0.3\circuit-qnn-transpile-c2fe7eae3afedf2d.yaml
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qiskit_machine_learning\algorithms\classifiers\qsvc.py
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releasenotes\notes\0.3\fix-empty-parameters-for-torch-nn-1ebd8b4e0c7ce914.yaml
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qiskit_machine_learning\circuit\library\__init__.py
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releasenotes\config.yaml
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releasenotes\notes\0.3\fix-forward-cache-7c2e60228c5efd43.yaml
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.github\actions\install-main-dependencies\action.yml
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releasenotes\notes\0.2\caching-and-trainable-model-37b7de903bd163ff.yaml
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qiskit_machine_learning\algorithms\__init__.py
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qiskit_machine_learning\circuit\library\qnn_circuit.py
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releasenotes\notes\0.2\default-optimizer-for-NN-classifier-regressor-b6643f19deb612cb.yaml
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releasenotes\notes\0.2\explicitly-set-input-gradients-005814df8291999a.yaml
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releasenotes\notes\0.2\fix-batch-gradients-1eb2332cc2082c57.yaml
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