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hub / github.com/dragen1860/MAML-Pytorch

github.com/dragen1860/MAML-Pytorch @main

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61 symbols 220 edges 11 files 24 documented · 39%
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

parameters
called by 13
learner.py
next
called by 7
omniglotNShot.py
zero_grad
called by 4
learner.py
load
called by 4
backup/csmlv0.py
load_data_cache
called by 3
omniglotNShot.py
finetunning
called by 2
meta.py
_check_exists
called by 2
omniglot.py
write2file
called by 2
backup/naive5_train.py

Shape

Method 37
Function 13
Class 11

Languages

Python100%

Modules by API surface

backup/csmlv0.py15 symbols
omniglot.py8 symbols
test.py7 symbols
meta.py6 symbols
learner.py6 symbols
MiniImagenet.py6 symbols
omniglotNShot.py5 symbols
backup/naive5_train.py4 symbols
miniimagenet_train.py2 symbols
omniglot_train.py1 symbols
backup/mainv0.py1 symbols

For agents

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

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