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Types & classes19 in github.com/ankit-ai/cs224n-natural-language-processing-winter2019

⨍ Functions 156◇ Types & classes 19
↓ 8 callersClassVocabEntry
Vocabulary Entry, i.e. structure containing either src or tgt language terms.
a5_neural_machine_translation_convnet_subword/vocab.py:29
↓ 3 callersClassNMT
Simple Neural Machine Translation Model: - Bidrectional LSTM Encoder - Unidirection LSTM Decoder - Global Attention Model (Lu
a5_neural_machine_translation_convnet_subword/nmt_model.py:26
↓ 3 callersClassNMT
Simple Neural Machine Translation Model: - Bidrectional LSTM Encoder - Unidirection LSTM Decoder - Global Attention Model (Lu
a4_neural_machine_translation_s2s_attention/nmt_model.py:23
↓ 3 callersClassPartialParse
a3_neural_dependency_parsing/parser_transitions.py:11
↓ 3 callersClassVocabEntry
Vocabulary Entry, i.e. structure containing either src or tgt language terms.
a4_neural_machine_translation_s2s_attention/vocab.py:30
↓ 2 callersClassCNN
a5_neural_machine_translation_convnet_subword/cnn.py:12
↓ 2 callersClassCharDecoder
a5_neural_machine_translation_convnet_subword/char_decoder.py:11
↓ 2 callersClassConfig
a3_neural_dependency_parsing/utils/parser_utils.py:27
↓ 2 callersClassHighway
a5_neural_machine_translation_convnet_subword/highway.py:11
↓ 2 callersClassModelEmbeddings
Class that converts input words to their CNN-based embeddings.
a5_neural_machine_translation_convnet_subword/model_embeddings.py:25
↓ 2 callersClassVocab
Vocab encapsulating src and target langauges.
a5_neural_machine_translation_convnet_subword/vocab.py:211
↓ 2 callersClassVocab
Vocab encapsulating src and target langauges.
a4_neural_machine_translation_s2s_attention/vocab.py:151
↓ 1 callersClassAverageMeter
Computes and stores the average and current value
a3_neural_dependency_parsing/utils/parser_utils.py:403
↓ 1 callersClassDummyModel
Dummy model for testing the minibatch_parse function First shifts everything onto the stack and then does exclusively right arcs if the first word
a3_neural_dependency_parsing/parser_transitions.py:187
↓ 1 callersClassDummyVocab
a5_neural_machine_translation_convnet_subword/sanity_check.py:52
↓ 1 callersClassModelEmbeddings
Class that converts input words to their embeddings.
a4_neural_machine_translation_s2s_attention/model_embeddings.py:14
↓ 1 callersClassModelWrapper
a3_neural_dependency_parsing/utils/parser_utils.py:269
↓ 1 callersClassParser
Contains everything needed for transition-based dependency parsing except for the model
a3_neural_dependency_parsing/utils/parser_utils.py:42
↓ 1 callersClassParserModel
Feedforward neural network with an embedding layer and single hidden layer. The ParserModel will predict which transition should be applied to a
a3_neural_dependency_parsing/parser_model.py:16