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hub / github.com/BayesWatch/pytorch-prunes

github.com/BayesWatch/pytorch-prunes @main

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107 symbols 226 edges 6 files 3 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

update
called by 20
funcs.py
get_layer_param
called by 7
funcs.py
concat
called by 5
funcs.py
prune
called by 4
funcs.py
get_error
called by 4
funcs.py
_make_dense
called by 3
models/densenet.py
validate
called by 2
train.py
_get_fisher
called by 2
funcs.py

Shape

Method 65
Function 22
Class 20

Languages

Python100%

Modules by API surface

models/wideresnet.py37 symbols
funcs.py34 symbols
models/densenet.py31 symbols
prune.py3 symbols
train.py2 symbols

For agents

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

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