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github.com/alibaba-edu/simple-effective-text-matching @main

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136 symbols 365 edges 27 files 4 documented · 3%
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

dense
called by 10
src/modules/__init__.py
samples2steps
called by 8
src/utils/params.py
load
called by 6
src/model.py
keys
called by 6
src/utils/vocab.py
copy
called by 5
data/prepare_wikiqa.py
update
called by 5
src/model.py
save
called by 5
src/model.py
load_data
called by 4
src/utils/loader.py

Shape

Method 84
Function 30
Class 22

Languages

Python100%

Modules by API surface

src/utils/vocab.py30 symbols
src/utils/logger.py16 symbols
src/model.py12 symbols
src/utils/params.py9 symbols
src/interface.py9 symbols
src/modules/prediction.py8 symbols
src/modules/fusion.py6 symbols
src/modules/alignment.py6 symbols
src/trainer.py5 symbols
src/modules/__init__.py5 symbols
src/utils/metrics.py4 symbols
src/modules/embedding.py4 symbols

For agents

$ claude mcp add simple-effective-text-matching \
  -- python -m otcore.mcp_server <graph>

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