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Types & classes16 in github.com/InsaneLife/dssm

⨍ Functions 205◇ Types & classes 16 ↳ Endpoints 1

↓ 7 callersClassVocabulary

data_input.py:20

↓ 6 callersClassConfig

↓ 4 callersClassSiamenseRNN

model/siamese_network.py:64

↓ 3 callersClassBertClassifier

model/bert_classifier.py:52

↓ 3 callersClassSiamenseBert

model/siamese_network.py:233

↓ 2 callersClassBasicTokenizer

Runs basic tokenization (punctuation splitting, lower casing, etc.).

model/bert/tokenization.py:146

↓ 2 callersClassWordpieceTokenizer

Runs WordPiece tokenziation.

model/bert/tokenization.py:261

↓ 1 callersClassAdamWeightDecayOptimizer

A basic Adam optimizer that includes "correct" L2 weight decay.

model/bert/optimization.py:84

↓ 1 callersClassBaseModel

model/base_model.py:129

↓ 1 callersClassBertConfig

Configuration for `BertModel`.

model/bert/modeling_v1.py:30

↓ 1 callersClassBertConfig

Configuration for `BertModel`.

model/bert/modeling.py:30

BERT model ("Bidirectional Embedding Representations from a Transformer"). Example usage: ```python # Already been converted into WordPiece t

model/bert/modeling_v1.py:105

BERT model ("Bidirectional Embedding Representations from a Transformer"). Example usage: ```python # Already been converted into WordPiece t

model/bert/modeling.py:105

ClassCharTokenizer

Runs end-to-end tokenziation.

model/bert/tokenization.py:125

ClassFullTokenizer

Runs end-to-end tokenziation.

model/bert/tokenization.py:105

ClassTriplteLoss

model/base_model.py:25