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import numpy as np
import torch
import torch.nn as nn

from sklearn import metrics
from skorch import NeuralNet
from skorch.callbacks import EarlyStopping, EpochScoring, LRScheduler
from torch.utils.data import DataLoader, Dataset

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from keras import backend as K
from keras import activations, initializations, regularizers, constraints
from keras.engine import Layer, InputSpec
from keras.utils.np_utils import conv_output_length
from keras.layers import Convolution1D, Convolution2D
import tensorflow as tf

class Convolution1D_tied(Layer):
    '''Convolution operator for filtering neighborhoods of one-dimensional inputs.
    When using this layer as the first layer in a model,

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