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chainer
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Complexity
Churn
Issues
A
chainer\testing\training.py
6 8 -
A
chainer\functions\math\det.py
6 11 -
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examples\mnist\train_mnist_data_parallel_updater.py
6 1 -
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chainer\training\_updater.py
6 1 -
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tests\chainer_tests\distributions_tests\test_pareto.py
6 3 -
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onnx_chainer\functions\noise.py
6 1 -
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chainer\training\extensions\micro_average.py
6 2 -
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chainer\functions\math\exponential_m1.py
6 7 -
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chainer\training\extensions\variable_unchain.py
6 2 -
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docs\source\_napoleon_patch.py
6 2 -
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onnx_chainer\mapping.py
6 9 -
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chainer\training\triggers\once_trigger.py
6 3 -
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chainer\functions\math\logarithm_1p.py
6 6 -
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chainerx_cc\chainerx\native\data_type.h
6 1 -
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tests\chainer_tests\functions_tests\activation_tests\test_hard_sigmoid.py
6 6 -
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chainer\functions\array\depth2space.py
6 12 -
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chainermn\communicators\naive_communicator.py
6 7 -
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chainer\functions\array\expand_dims.py
6 11 -
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chainer\functions\normalization\layer_normalization.py
6 8 -
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tests\chainermn_tests\datasets_tests\test_empty_dataset.py
6 2 -