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1,059 symbols 2,390 edges 66 files 362 documented · 34%

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_into_tensor

called by 25

guided_diffusion/gaussian_diffusion.py

load_state_dict

called by 25

score_sde/models/ema.py

eval

called by 24

stadv_eot/recoloradv/mister_ed/adversarial_attacks.py

forward

called by 22

stadv_eot/recoloradv/mister_ed/loss_functions.py

log

called by 21

guided_diffusion/logger.py

ncsn_conv3x3

called by 20

score_sde/models/layers.py

save

called by 19

guided_diffusion/train_util.py

normalization

called by 17

guided_diffusion/nn.py

Shape

Method 624

Function 251

Class 184

Languages

Python100%

C++1%

Modules by API surface

score_sde/models/layers.py68 symbols

stadv_eot/recoloradv/mister_ed/adversarial_perturbations.py65 symbols

guided_diffusion/logger.py59 symbols

stadv_eot/recoloradv/mister_ed/utils/pytorch_utils.py52 symbols

stadv_eot/recoloradv/mister_ed/loss_functions.py48 symbols

score_sde/sampling.py44 symbols

guided_diffusion/unet.py43 symbols

stadv_eot/recoloradv/mister_ed/spatial_transformers.py39 symbols

score_sde/sde_lib.py37 symbols

guided_diffusion/gaussian_diffusion.py31 symbols

classifiers/attribute_net.py31 symbols

score_sde/models/normalization.py25 symbols

For agents

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

⬇ download graph artifact