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abstractive-summarization
classification-comparison
neural-machine-translation
10.lstm-rnn-bidirectional.ipynb
11.lstm-rnn-bidirectional-huber.ipynb
12.lstm-rnn-dropout-l2.ipynb
16.gru-rnn-bidirectional.ipynb
17.gru-rnn-bidirectional-hinge.ipynb
18.gru-rnn-bidirectional-huber.ipynb
21.lstm-cnn-rnn-highway.ipynb
22.lstm-rnn-attention.ipynb
23.dilated-rnn-lstm.ipynb
26.multihead-attention.ipynb
27.neural-turing-machine.ipynb
29.lstm-seq2seq-luong.ipynb
30.lstm-seq2seq-bahdanau.ipynb
31.lstm-seq2seq-beam.ipynb
32.lstm-seq2seq-birnn.ipynb
34.lstm-rnn-bahdanau.ipynb
36.lstm-rnn-bahdanau-luong.ipynb
37.lstm-birnn-bahdanau-luong.ipynb
4.basic-rnn-bidirectional.ipynb
42.capsule-rnn-lstm.ipynb
43.capsule-seq2seq-lstm.ipynb
44.capsule-birrn-seq2seq-lstm.ipynb
46.lstm-seq2seq-highway.ipynb
47.triplet-loss-lstm.ipynb
5.basic-rnn-bidirectional-hinge.ipynb
51.batch-all-triplet-loss-lstm.ipynb
53.gated-convolution-network.ipynb
54.simple-recurrent-units.ipynb
57.dynamic-memory-network.ipynb
6.basic-rnn-bidirectional-huber.ipynb
61.residual-network.ipynb
62.residual-network-bahdanau.ipynb
63.deep-pyramid-cnn.ipynb
65.transfer-learning-gpt2.ipynb
69.slice-gru-bahdanau.ipynb
71.transfer-learning-bert-base.ipynb
72.transfer-learning-xlnet-large.ipynb
73.lstm-birnn-max-avg.ipynb
74.transfer-learning-bert-base-6.ipynb
75.transfer-learning-bert-large-12.ipynb
76.transfer-learning-xlnet-base.ipynb
77.transfer-learning-albert-base.ipynb
dynamic_memory_network.py
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