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sentiment-discovery
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Complexity
Churn
Issues
A
experiments\train_mlstm_singlenode.sh
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fp16\__init__.py
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reparameterization\weight_norm.py
8 1 -
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experiments\train_transformer_singlenode.sh
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.github\workflows\snorkell-auto-documentation.yml
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model\RNN_utils\RNN\cells.py
8 1 1
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reparameterization\reparameterization.py
26 1 -
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threshold.py
41 1 1
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logreg_utils.py
31 1 1
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model\RNN_utils\RNN\models.py
7 1 -
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fp16\fp16util.py
28 1 1
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experiments\run_sst.sh
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model\RNN_utils\RNN\__init__.py
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reparameterization\__init__.py
27 1 -
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model\RNN_utils\RNN\RNNBackend.py
88 1 1
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data_utils\cache.py
6 1 -
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experiments\run_sk_imdb.sh
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experiments\run_sk_sst.sh
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model\__init__.py
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fp16\loss_scaler.py
28 2 -