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github.com/SageCao1125/SDM @main

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198 symbols 523 edges 16 files 24 documented · 12%
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

extract
called by 17
SDM/diffusion.py
build_power_value
called by 10
ANN2SNN/quant_layer.py
extract
called by 10
ANN2SNN/diffusion.py
apot_quantization
called by 5
ANN2SNN/quant_layer.py
uniform_quantization
called by 5
ANN2SNN/quant_layer.py
extract2
called by 4
SDM/diffusion.py
uq_with_calibrated_graditens
called by 4
ANN2SNN/quant_layer.py
get_inception_and_fid_score
called by 4
ANN2SNN/both.py

Shape

Method 110
Function 48
Class 40

Languages

Python100%

Modules by API surface

ANN2SNN/quant_layer.py37 symbols
SDM/TSM.py28 symbols
ANN2SNN/spiking_model.py21 symbols
ANN2SNN/model.py21 symbols
ANN2SNN/inception.py16 symbols
ANN2SNN/spiking_layer.py15 symbols
ANN2SNN/SNN_ft.py13 symbols
SDM/diffusion.py12 symbols
ANN2SNN/diffusion.py11 symbols
ANN2SNN/ANN_train.py7 symbols
ANN2SNN/fid.py5 symbols
ANN2SNN/evaluate.py4 symbols

For agents

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

⬇ download graph artifact