├── .flake8 ├── .github ├── ISSUE_TEMPLATE │ ├── bug_report.md │ └── feature_request.md └── workflows │ ├── python-package.yml │ └── stale.yml ├── .gitignore ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── MANIFEST.in ├── README.md ├── conftest.py ├── docs ├── docs │ ├── callbacks │ │ └── train_logger.mdx │ ├── layers │ │ ├── activation_functions │ │ │ ├── gelu.mdx │ │ │ ├── leaky_relu.mdx │ │ │ ├── relu.mdx │ │ │ ├── selu.mdx │ │ │ ├── sigmoid.mdx │ │ │ ├── softmax.mdx │ │ │ └── tanh.mdx │ │ ├── convolutional │ │ │ ├── conv1d.mdx │ │ │ ├── conv2d.mdx │ │ │ └── conv3d.mdx │ │ ├── linear │ │ │ ├── bilinear.mdx │ │ │ └── dense.mdx │ │ ├── normalization │ │ │ ├── batchnorm1d.mdx │ │ │ ├── batchnorm2d.mdx │ │ │ └── batchnorm3d.mdx │ │ ├── other │ │ │ └── flatten.mdx │ │ ├── pooling │ │ │ ├── avgpool1d.mdx │ │ │ ├── avgpool2d.mdx │ │ │ ├── avgpool3d.mdx │ │ │ ├── maxpool1d.mdx │ │ │ ├── maxpool2d.mdx │ │ │ └── maxpool3d.mdx │ │ ├── recurrent │ │ │ ├── gru.mdx │ │ │ ├── grucell.mdx │ │ │ ├── lstm.mdx │ │ │ ├── lstmcell.mdx │ │ │ ├── rnn.mdx │ │ │ └── rnncell.mdx │ │ ├── regularizers │ │ │ ├── alpha-dropout.mdx │ │ │ ├── dropout.mdx │ │ │ ├── dropout2d.mdx │ │ │ └── dropout3d.mdx │ │ └── sparse │ │ │ └── embedding.mdx │ ├── loss_functions │ │ ├── bce-loss.mdx │ │ ├── cross-entropy-loss.mdx │ │ └── mse-loss.mdx │ ├── models │ │ ├── model.mdx │ │ └── sequential.mdx │ ├── optimizers │ │ ├── adagrad.mdx │ │ ├── adam.mdx │ │ ├── rmsprop.mdx │ │ ├── rprop.mdx │ │ └── sgd.mdx │ └── utils │ │ └── custom-layer.mdx ├── get-started.mdx ├── index.mdx ├── installation.mdx └── support.mdx ├── neuralpy ├── __init__.py ├── callbacks │ ├── __init__.py │ └── train_logger.py ├── layers │ ├── __init__.py │ ├── activation_functions │ │ ├── __init__.py │ │ ├── gelu.py │ │ ├── leaky_relu.py │ │ ├── relu.py │ │ ├── selu.py │ │ ├── sigmoid.py │ │ ├── softmax.py │ │ └── tanh.py │ ├── convolutional │ │ ├── __init__.py │ │ ├── conv1d.py │ │ ├── conv2d.py │ │ └── conv3d.py │ ├── linear │ │ ├── __init__.py │ │ ├── bilinear.py │ │ └── dense.py │ ├── normalization │ │ ├── __init__.py │ │ ├── batchnorm1d.py │ │ ├── batchnorm2d.py │ │ └── batchnorm3d.py │ ├── other │ │ ├── __init__.py │ │ └── flatten.py │ ├── pooling │ │ ├── __init__.py │ │ ├── avg_pool1d.py │ │ ├── avg_pool2d.py │ │ ├── avg_pool3d.py │ │ ├── maxpool1d.py │ │ ├── maxpool2d.py │ │ └── maxpool3d.py │ ├── recurrent │ │ ├── __init__.py │ │ ├── gru.py │ │ ├── gru_cell.py │ │ ├── lstm.py │ │ ├── lstm_cell.py │ │ ├── rnn.py │ │ └── rnn_cell.py │ ├── regularizers │ │ ├── __init__.py │ │ ├── alpha_dropout.py │ │ ├── dropout.py │ │ ├── dropout2d.py │ │ └── dropout3d.py │ └── sparse │ │ ├── __init__.py │ │ └── embedding.py ├── loss_functions │ ├── __init__.py │ ├── bce_loss.py │ ├── cross_entropy.py │ └── mse.py ├── models │ ├── __init__.py │ ├── model.py │ ├── model_helper.py │ └── sequential.py ├── optimizer │ ├── __init__.py │ ├── adagrad.py │ ├── adam.py │ ├── rmsprop.py │ ├── rprop.py │ └── sgd.py └── utils │ ├── __init__.py │ └── custom_layer.py ├── pyproject.toml ├── pytest.ini ├── requirements.txt ├── setup.py └── tests └── neuralpy ├── callbacks └── test_train_logger.py ├── layers ├── activation_functions │ ├── test_gelu.py │ ├── test_leaky_relu.py │ ├── test_relu.py │ ├── test_selu.py │ ├── test_sigmoid.py │ ├── test_softmax.py │ └── test_tanh.py ├── convolutional │ ├── test_conv1d.py │ ├── test_conv2d.py │ └── test_conv3d.py ├── linear │ ├── test_bilinear.py │ └── test_dense.py ├── normalization │ ├── test_batchnorm1d.py │ ├── test_batchnorm2d.py │ └── test_batchnorm3d.py ├── other │ └── test_flatten.py ├── pooling │ ├── test_avgpool1d.py │ ├── test_avgpool2d.py │ ├── test_avgpool3d.py │ ├── test_maxpool1d.py │ ├── test_maxpool2d.py │ └── test_maxpool3d.py ├── recurrent │ ├── test_gru.py │ ├── test_grucell.py │ ├── test_lstm.py │ ├── test_lstmcell.py │ ├── test_rnn.py │ └── test_rnncell.py ├── regularizers │ ├── test_alpha_dropout.py │ ├── test_dropout.py │ ├── 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