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Types & classes22 in github.com/anuragranj/coma

⨍ Functions 151◇ Types & classes 22

↓ 3 callersClassFaceData

↓ 2 callersClassMakeIdentityExpressionDataset

docstring for FaceMesh

facemesh.py:182

↓ 1 callersClassMakeSlicedTimeDataset

docstring for FaceMesh

facemesh.py:126

↓ 1 callersClassSentences

lib/utils.py:133

ClassText20News

lib/utils.py:152

ClassTextDataset

lib/utils.py:13

lib/utils.py:162

Classbase_model

lib/models.py:18

Graph CNN which uses the Chebyshev approximation. The following are hyper-parameters of graph convolutional layers. They are lists, whic

lib/models.py:763

Graph CNN which uses the Chebyshev approximation.

lib/models.py:547

Graph CNN which uses the Chebyshev approximation.

lib/models.py:582

Graph CNN which uses the Chebyshev approximation.

lib/models.py:623

Graph CNN which uses the Chebyshev approximation.

lib/models.py:671

Simple convolutional model.

lib/models.py:382

Mesh Convolutional Autoencoder which uses the Chebyshev approximation. The following are hyper-parameters of graph convolutional layers.

lib/models.py:1070

lib/models.py:354

lib/models.py:363

CNN using the FFT.

lib/models.py:403

Graph CNN with full weights, i.e. patch has the same size as input.

lib/models.py:446

Graph CNN which uses the Lanczos approximation.

lib/models.py:483

Graph CNN which uses the Lanczos approximation.

lib/models.py:512

Classmodel_perf

lib/utils.py:278