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annotated_deep_learning_paper_implementations
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A
labml_nn\normalization\instance_norm\experiment.py
5 1 -
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labml_nn\normalization\layer_norm\__init__.py
8 2 -
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labml_nn\normalization\weight_standardization\__init__.py
1 2 -
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labml_nn\normalization\weight_standardization\conv2d.py
3 1 -
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labml_nn\normalization\weight_standardization\experiment.py
5 1 -
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labml_nn\optimizers\__init__.py
 2 -
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labml_nn\optimizers\ada_belief.py
8 1 -
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labml_nn\optimizers\adam.py
8 1 -
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labml_nn\optimizers\adam_fp16.py
13 1 -
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labml_nn\optimizers\adam_warmup.py
4 1 -
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labml_nn\optimizers\adam_warmup_cosine_decay.py
7 1 -
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labml_nn\optimizers\amsgrad.py
12 2 -
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labml_nn\optimizers\configs.py
10 1 -
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labml_nn\optimizers\mnist_experiment.py
12 1 -
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labml_nn\optimizers\noam.py
6 1 -
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labml_nn\optimizers\performance_test.py
9 1 -
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labml_nn\optimizers\radam.py
11 1 -
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labml_nn\recurrent_highway_networks\__init__.py
 1 -
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labml_nn\resnet\__init__.py
17 2 -
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labml_nn\resnet\experiment.py
3 2 -