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github.com/Xu-Wave/EA-CKGQA @main

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234 symbols 542 edges 22 files 147 documented · 63%
What it actually does AI analysis from the code graph — generated when you open this
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Core symbols most depended-on inside this repo

create_int_feature
called by 12
命名实体识别/bert/run_classifier.py
_read_tsv
called by 11
命名实体识别/bert/run_classifier.py
create_initializer
called by 10
命名实体识别/bert/modeling.py
Get
called by 9
gStore配置/GstoreConnector.py
tokenize
called by 9
命名实体识别/bert/tokenization.py
get_shape_list
called by 9
命名实体识别/bert/modeling.py
convert_tokens_to_ids
called by 7
命名实体识别/bert/tokenization.py
create_int_feature
called by 6
命名实体识别/bert/create_pretraining_data.py

Shape

Function 108
Method 101
Class 25

Languages

Python100%

Modules by API surface

命名实体识别/bert/run_classifier.py49 symbols
命名实体识别/bert/run_squad.py32 symbols
命名实体识别/bert/modeling.py30 symbols
命名实体识别/bert/tokenization.py27 symbols
gStore配置/GstoreConnector.py15 symbols
命名实体识别/bert/extract_features.py13 symbols
命名实体识别/bert/modeling_test.py12 symbols
命名实体识别/bert/create_pretraining_data.py12 symbols
命名实体识别/bert/run_pretraining.py11 symbols
命名实体识别/bert/tokenization_test.py10 symbols
命名实体识别/bert/run_classifier_with_tfhub.py6 symbols
命名实体识别/bert/optimization.py6 symbols

For agents

$ claude mcp add EA-CKGQA \
  -- python -m otcore.mcp_server <graph>

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