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annotated_deep_learning_paper_implementations
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Name
Complexity
Churn
Issues
A
labml_nn\gan\wasserstein\__init__.py
2 1 -
A
labml_nn\gan\wasserstein\experiment.py
2 1 -
A
labml_nn\gan\wasserstein\gradient_penalty\__init__.py
1 1 -
A
labml_nn\gan\wasserstein\gradient_penalty\experiment.py
4 1 -
A
labml_nn\graphs\__init__.py
 1 -
A
labml_nn\graphs\gat\__init__.py
4 2 -
A
labml_nn\graphs\gat\experiment.py
21 3 -
A
labml_nn\graphs\gatv2\__init__.py
5 2 -
A
labml_nn\graphs\gatv2\experiment.py
5 2 -
A
labml_nn\hypernetworks\__init__.py
 1 -
A
labml_nn\hypernetworks\experiment.py
7 1 -
A
labml_nn\hypernetworks\hyper_lstm.py
 2 -
A
labml_nn\lstm\__init__.py
 1 -
A
labml_nn\neox\__init__.py
 2 -
A
labml_nn\neox\checkpoint.py
16 2 -
A
labml_nn\neox\evaluation\__init__.py
23 1 -
A
labml_nn\neox\evaluation\half_precision.py
1 3 -
A
labml_nn\neox\evaluation\llm_int8.py
2 3 -
A
labml_nn\neox\model.py
84 9 -
A
labml_nn\neox\samples\__init__.py
 1 -