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347 symbols 817 edges 56 files 48 documented · 14%

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Core symbols most depended-on inside this repo

item

called by 43

Application/audience expansion/utils.py

item

called by 10

Application/cross-domain fraud detection/utils/utils.py

save_pkl

called by 9

Application/audience expansion/data/process.py

read_data

called by 6

Application/audience expansion/run.py

add

called by 5

Application/cross-domain fraud detection/utils/utils.py

_make_layer

called by 4

UDA/pytorch0.3/DAN/ResNet.py

_make_layer

called by 4

UDA/pytorch0.3/DDC/ResNet.py

_make_layer

called by 4

UDA/pytorch0.3/RevGrad/ResNet.py

Shape

Method 175

Function 102

Class 70

Languages

Python100%

Modules by API surface

UDA/pytorch1.0/MRAN/ResNet.py21 symbols

Application/audience expansion/model.py21 symbols

MUDA/MFSAN/MFSAN_3src/resnet.py18 symbols

MUDA/MFSAN/MFSAN_2src/resnet.py18 symbols

UDA/pytorch1.0/DeepCoral/ResNet.py16 symbols

UDA/pytorch1.0/DAN/ResNet.py16 symbols

Application/cross-domain fraud detection/utils/utils.py16 symbols

Application/audience expansion/run.py16 symbols

UDA/pytorch0.3/RevGrad/ResNet.py15 symbols

UDA/pytorch0.3/DeepCoral/ResNet.py15 symbols

UDA/pytorch0.3/DDC/ResNet.py15 symbols

UDA/pytorch0.3/DAN/ResNet.py15 symbols

For agents

$ claude mcp add deep-transfer-learning \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact