repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/unit/test_init_embedding.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 1,170 | 34.484848 | 78 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/unit/test_optimizers.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 1,894 | 38.479167 | 109 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/unit/test_attention.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 18,423 | 50.898592 | 123 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/unit/test_data_io.py | # Copyright 2017, 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | 34,870 | 45.494667 | 119 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/unit/test_utils.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 16,748 | 38.409412 | 118 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/unit/image_captioning/test_encoder.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 3,444 | 43.74026 | 88 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/unit/image_captioning/test_arguments.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 3,488 | 37.766667 | 106 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/unit/image_captioning/test_data_io.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 15,939 | 56.963636 | 142 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/test/integration/test_seq_copy_int.py | # Copyright 2017, 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | 17,215 | 54.003195 | 126 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/init_embedding.py | #!/usr/bin/env python3
# Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or i... | 6,618 | 38.634731 | 104 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/inference.py | # Copyright 2017--2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | 138,876 | 51.925686 | 170 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/scoring.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 13,427 | 44.060403 | 136 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/gcn_att.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 7,911 | 36.67619 | 123 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/average.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 6,123 | 33.59887 | 117 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/multiprocessing_utils.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 2,981 | 39.297297 | 120 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/constants.py | # Copyright 2017--2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | 16,550 | 32.777551 | 148 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/deep_gcn_cnn.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 11,287 | 42.415385 | 154 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/gcn_avg.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 10,605 | 41.766129 | 154 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/lexicon.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 11,079 | 40.189591 | 118 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/deepgcn.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 10,594 | 41.721774 | 132 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/lightweight_gcn.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
directions=co... | 10,180 | 39.561753 | 135 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/checkpoint_decoder.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 10,132 | 48.18932 | 134 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/optimizers.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 11,776 | 41.060714 | 110 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/loss.py | # Copyright 2017, 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | 14,658 | 38.090667 | 105 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/embeddings.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 5,855 | 38.04 | 119 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/training.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 72,612 | 49.147099 | 154 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/utils.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 39,688 | 37.910784 | 120 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/model.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 13,012 | 46.666667 | 135 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/encoder.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 50,222 | 33.756401 | 113 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/convolution.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 7,935 | 43.58427 | 117 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/log.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 4,595 | 27.546584 | 103 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/gcn_sum.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 10,604 | 41.762097 | 154 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/layers.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 27,928 | 41.125189 | 139 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/extract_parameters.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 3,968 | 32.075 | 110 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/rnn_attention.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 37,810 | 44.445913 | 119 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/transformer.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 14,839 | 43.698795 | 118 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/grn.py | """
Implementation of a range of Graph Recurrent Networks.
Trying to follow the structure of rnn_cell.py in the mxnet code.
"""
import mxnet as mx
import sockeye.constants as C
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(inp... | 11,016 | 40.731061 | 96 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/decoder.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 64,946 | 50.260458 | 129 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/gcn.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 10,515 | 41.922449 | 154 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/data_io.py | # Copyright 2017, 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | 83,624 | 37.572417 | 140 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/lexical_constraints.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 28,775 | 39.991453 | 119 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/gcn_del.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
directions=co... | 8,131 | 36.823256 | 123 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/coverage.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 17,570 | 44.997382 | 118 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/rnn.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 25,581 | 47.727619 | 139 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/gcn_cnn.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 11,195 | 42.227799 | 154 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/gcn_mul.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 7,985 | 37.028571 | 123 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/train.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 57,867 | 53.851185 | 136 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/gat.py | import mxnet as mx
import sockeye.constants as C
from sockeye import utils
from sockeye.config import Config
import logging
logger = logging.getLogger(__name__)
def get_gcn(config, prefix):
gcn = GCNCell(input_dim=config.input_dim,
output_dim=config.output_dim,
direction_num... | 8,015 | 35.770642 | 123 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/initializer.py | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 5,527 | 43.943089 | 153 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/inference.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 13,157 | 48.65283 | 120 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/score.py | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 7,408 | 45.30625 | 125 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/arguments.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 8,145 | 49.283951 | 137 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/extract_features.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 6,539 | 39.875 | 119 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/utils.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 7,735 | 36.014354 | 122 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/encoder.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 10,230 | 43.290043 | 113 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/captioner.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 7,715 | 44.656805 | 98 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/data_io.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 23,947 | 48.37732 | 128 | py |
EntityDescriptionGeneration | EntityDescriptionGeneration-master/sockeye/image_captioning/train.py | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 19,704 | 48.017413 | 130 | py |
focal-tversky-unet | focal-tversky-unet-master/losses.py | from keras.losses import binary_crossentropy
import keras.backend as K
import tensorflow as tf
epsilon = 1e-5
smooth = 1
def dsc(y_true, y_pred):
smooth = 1.
y_true_f = K.flatten(y_true)
y_pred_f = K.flatten(y_pred)
intersection = K.sum(y_true_f * y_pred_f)
score = (2. * intersection + smooth) / ... | 2,007 | 28.101449 | 90 | py |
focal-tversky-unet | focal-tversky-unet-master/isic_train.py | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 14 17:16:54 2018
@author: Nabila Abraham
"""
import os
import cv2
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from keras.models import Model
from keras.layers import Input, concatenate, Conv2D, MaxPooling2D, Conv2DTranspose
from keras.... | 4,794 | 31.619048 | 107 | py |
focal-tversky-unet | focal-tversky-unet-master/bus_train.py | # -*- coding: utf-8 -*-
"""
@author: Nabilla Abraham
"""
import os
import cv2
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from keras.models import Model
from keras.layers import Input, concatenate, Conv2D, MaxPooling2D, Conv2DTranspose
from keras.layers import Activation, add, multip... | 5,500 | 31.358824 | 102 | py |
focal-tversky-unet | focal-tversky-unet-master/newmodels.py | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 9 18:54:57 2018
@author: Nabila Abraham
"""
import cv2
import time
import os
import h5py
from keras.models import Model
from keras.layers import Input, concatenate, Conv2D, MaxPooling2D, Conv2DTranspose
from keras.layers import Activation, add, multiply, Lambda
from ke... | 14,156 | 46.347826 | 172 | py |
melgan | melgan-master/inference.py | import os
import glob
import tqdm
import torch
import argparse
from scipy.io.wavfile import write
import numpy as np
from model.generator import Generator
from utils.hparams import HParam, load_hparam_str
from utils.pqmf import PQMF
from denoiser import Denoiser
MAX_WAV_VALUE = 32768.0
def main(args):
checkpoint... | 2,398 | 35.348485 | 99 | py |
melgan | melgan-master/preprocess.py | import os
import glob
import tqdm
import torch
import argparse
import numpy as np
from utils.stft import TacotronSTFT
from utils.hparams import HParam
from utils.utils import read_wav_np
def main(hp, args):
stft = TacotronSTFT(filter_length=hp.audio.filter_length,
hop_length=hp.audio.hop_... | 2,005 | 36.148148 | 93 | py |
melgan | melgan-master/denoiser.py | import sys
import torch
from utils.stft import STFT
class Denoiser(torch.nn.Module):
""" Removes model bias from audio produced with waveglow """
def __init__(self, melgan, filter_length=1024, n_overlap=4,
win_length=1024, mode='zeros'):
super(Denoiser, self).__init__()
self.... | 1,400 | 37.916667 | 84 | py |
melgan | melgan-master/datasets/dataloader.py | import os
import glob
import torch
import random
import numpy as np
from torch.utils.data import Dataset, DataLoader
from utils.utils import read_wav_np
def create_dataloader(hp, args, train):
dataset = MelFromDisk(hp, args, train)
if train:
return DataLoader(dataset=dataset, batch_size=hp.train.bat... | 2,625 | 33.552632 | 109 | py |
melgan | melgan-master/utils/writer.py | from tensorboardX import SummaryWriter
from utils.stft import TacotronSTFT
from .plotting import plot_waveform_to_numpy, plot_spectrogram_to_numpy
import torch
class MyWriter(SummaryWriter):
def __init__(self, hp, logdir):
super(MyWriter, self).__init__(logdir)
self.sample_rate = hp.audio.sampling_... | 2,558 | 51.22449 | 113 | py |
melgan | melgan-master/utils/stft_loss.py | # -*- coding: utf-8 -*-
# Copyright 2019 Tomoki Hayashi
# MIT License (https://opensource.org/licenses/MIT)
"""STFT-based Loss modules."""
import torch
import torch.nn.functional as F
def stft(x, fft_size, hop_size, win_length, window):
"""Perform STFT and convert to magnitude spectrogram.
Args:
x... | 4,910 | 35.110294 | 97 | py |
melgan | melgan-master/utils/stft.py | """
BSD 3-Clause License
Copyright (c) 2017, Prem Seetharaman
All rights reserved.
* Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of... | 7,601 | 40.091892 | 102 | py |
melgan | melgan-master/utils/pqmf.py | # -*- coding: utf-8 -*-
# Copyright 2020 Tomoki Hayashi
# MIT License (https://opensource.org/licenses/MIT)
"""Pseudo QMF modules."""
import numpy as np
import torch
import torch.nn.functional as F
from scipy.signal import kaiser
def design_prototype_filter(taps=62, cutoff_ratio=0.15, beta=9.0):
"""Design pr... | 4,482 | 37.646552 | 103 | py |
melgan | melgan-master/utils/validation.py | import tqdm
import torch
def validate(hp, args, generator, discriminator, valloader, stft_loss, sub_stft_loss, criterion, pqmf, writer, step):
generator.eval()
discriminator.eval()
torch.backends.cudnn.benchmark = False
loader = tqdm.tqdm(valloader, desc='Validation loop')
loss_g_sum = 0.0
lo... | 2,831 | 40.647059 | 117 | py |
melgan | melgan-master/utils/audio_processing.py | import torch
import numpy as np
from scipy.signal import get_window
import librosa.util as librosa_util
def window_sumsquare(window, n_frames, hop_length=200, win_length=800,
n_fft=800, dtype=np.float32, norm=None):
"""
# from librosa 0.6
Compute the sum-square envelope of a window fu... | 2,610 | 26.776596 | 83 | py |
melgan | melgan-master/utils/train.py | import os
import math
import tqdm
import torch
import itertools
import traceback
from utils.pqmf import PQMF
from model.generator import Generator
from model.multiscale import MultiScaleDiscriminator
from .utils import get_commit_hash
from .validation import validate
from utils.stft_loss import MultiResolutionSTFTLoss
... | 9,020 | 44.560606 | 124 | py |
melgan | melgan-master/model/identity.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class Identity(nn.Module):
def __init__(self):
super(Identity, self).__init__()
def forward(self, x):
return x
| 206 | 14.923077 | 40 | py |
melgan | melgan-master/model/discriminator.py | import torch
import torch.nn as nn
class Discriminator(nn.Module):
def __init__(self, ndf = 16, n_layers = 3, downsampling_factor = 4, disc_out = 512):
super(Discriminator, self).__init__()
discriminator = nn.ModuleDict()
discriminator["layer_0"] = nn.Sequential(
nn.ReflectionP... | 2,596 | 31.4625 | 94 | py |
melgan | melgan-master/model/multiscale.py | import torch
import torch.nn as nn
from utils.utils import weights_init
from .discriminator import Discriminator
class MultiScaleDiscriminator(nn.Module):
def __init__(self, num_D = 3, ndf = 16, n_layers = 3, downsampling_factor = 4, disc_out = 512):
super().__init__()
self.model = nn.ModuleDict(... | 6,139 | 38.358974 | 105 | py |
melgan | melgan-master/model/generator.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from utils.utils import weights_init
from .res_stack import ResStack
# from res_stack import ResStack
MAX_WAV_VALUE = 32768.0
class Generator(nn.Module):
def __init__(self, mel_channel, n_residual_layers, ratios=[8, 5, 5], mult = 256, out_band = ... | 3,003 | 29.969072 | 99 | py |
melgan | melgan-master/model/res_stack.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class ResStack(nn.Module):
def __init__(self, channel, dilation=1):
super(ResStack, self).__init__()
self.block = nn.Sequential(
nn.LeakyReLU(0.2),
nn.ReflectionPad1d(dilation),
... | 1,190 | 31.189189 | 100 | py |
MINNs | MINNs-master/MI_Net_with_RC.py | import numpy as np
import sys
import time
import random
from random import shuffle
import argparse
from keras.models import Model
from keras.optimizers import SGD
from keras.regularizers import l2
from keras.layers import Input, Dense, Layer, Dropout, merge
from mil_nets.dataset import load_dataset
from mil_nets.laye... | 6,542 | 34.950549 | 193 | py |
MINNs | MINNs-master/MI_Net.py | import numpy as np
import sys
import time
import random
from random import shuffle
import argparse
from keras.models import Model
from keras.optimizers import SGD
from keras.regularizers import l2
from keras.layers import Input, Dense, Layer, Dropout
from mil_nets.dataset import load_dataset
from mil_nets.layer impor... | 6,132 | 34.247126 | 192 | py |
MINNs | MINNs-master/MI_Net_with_DS.py | import numpy as np
import sys
import time
import random
from random import shuffle
import argparse
from keras.models import Model
from keras.optimizers import SGD
from keras.regularizers import l2
from keras.layers import Input, Dense, Layer, Dropout
from keras.layers.merge import average
from mil_nets.dataset import... | 6,987 | 37.395604 | 210 | py |
MINNs | MINNs-master/mi_Net.py | import sys
import time
from random import shuffle
import numpy as np
import argparse
from keras.models import Model
from keras.optimizers import SGD
from keras.regularizers import l2
from keras.layers import Input, Dense, Layer, Dropout
from mil_nets.dataset import load_dataset
from mil_nets.layer import Score_poolin... | 6,106 | 34.300578 | 192 | py |
MINNs | MINNs-master/mil_nets/pooling_method.py | from keras import backend as K
def max_pooling(x):
"""Max Pooling to obtain aggregation.
Parameters
---------------------
x : Tensor (N x d)
Input data to do max-pooling,
where N is number of instances in one bag,
and d is dimension of instance feature
(when d = 1, x mea... | 3,029 | 34.647059 | 102 | py |
MINNs | MINNs-master/mil_nets/layer.py | from keras.layers import Layer
from keras import backend as K
from keras import activations, initializers, regularizers
from . import pooling_method as pooling
class RC_block(Layer):
"""
Residual Connection block
This layer contains a MIL pooling with the layer input to produce a tensor of
outputs (ba... | 9,110 | 37.935897 | 97 | py |
MINNs | MINNs-master/mil_nets/utils.py | import numpy as np
from random import shuffle
from keras.utils import np_utils
# save batches, per batch contains instance features of a bag and bag label
def convertToBatch(bags):
"""Convert to batch format.
Parameters
-----------------
bags : list
A list contains instance features of bags and... | 1,522 | 29.46 | 81 | py |
MINNs | MINNs-master/mil_nets/objectives.py | from keras import backend as K
def bag_loss(y_true, y_pred):
"""Compute binary crossentropy loss of predicting bag loss.
Parameters
---------------------
y_true : Tensor (N x 1)
GroundTruth of bag.
y_pred : Tensor (1 X 1)
Prediction score of bag.
Return
---------------------... | 598 | 28.95 | 65 | py |
MINNs | MINNs-master/mil_nets/metrics.py | from keras import backend as K
def bag_accuracy(y_true, y_pred):
"""Compute accuracy of one bag.
Parameters
---------------------
y_true : Tensor (N x 1)
GroundTruth of bag.
y_pred : Tensor (1 X 1)
Prediction score of bag.
Return
---------------------
acc : Tensor (1 x 1... | 542 | 26.15 | 51 | py |
isochrones | isochrones-master/docs/conf.py | # -*- coding: utf-8 -*-
#
# isochrones documentation build configuration file, created by
# sphinx-quickstart on Tue Mar 10 22:12:18 2015.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
... | 9,738 | 30.015924 | 102 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/setup.py | from setuptools import setup, find_namespace_packages
setup(name='nnformer',
packages=find_namespace_packages(include=["nnformer", "nnformer.*"]),
install_requires=[
"torch>=1.6.0a",
"tqdm",
"dicom2nifti",
"scikit-image>=0.14",
"medpy",
... | 2,697 | 58.955556 | 158 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/model_restore.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 7,407 | 45.012422 | 179 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/dataloading/unsupervise_mask_gen.py | import math
import pdb
import numpy as np
import scipy.stats
import torch, torch.nn.functional as F
class MaskGenerator (object):
"""
Mask Generator
"""
def generate_params(self, n_masks, mask_shape, rng=None):
raise NotImplementedError('Abstract')
def append_to_batch(self, *batch):
... | 4,947 | 42.026087 | 125 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/nnFormerTrainer_last_cut.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 39,995 | 53.268657 | 142 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/network_trainer_last_cut.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 31,619 | 41.614555 | 153 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/nnFormerTrainerV2.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 22,224 | 48.720358 | 134 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/nnFormerTrainerV2_Dual_Robust.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 31,318 | 47.556589 | 149 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/nnFormerTrainer.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 39,932 | 53.183175 | 142 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/nnFormerTrainerV2_Light.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 22,519 | 49.155902 | 119 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/nnFormerTrainerV2_Dual_Light.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 32,417 | 47.602699 | 149 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/nnFormerTrainerV2_CascadeFullRes.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 19,651 | 54.514124 | 132 | py |
Semi-Supervised-nnUNet | Semi-Supervised-nnUNet-master/nnformer/training/network_training/nnFormerTrainerV2_Robust.py | # Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | 22,481 | 49.071269 | 119 | py |
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