Skip to content
This repository was archived by the owner on Jul 27, 2023. It is now read-only.

Files

Latest commit

db79d5d · Aug 11, 2019

History

History

chatbot

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
Mar 3, 2019
Mar 3, 2019
Mar 4, 2019
Mar 3, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 16, 2019
Mar 5, 2019
Jan 14, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 13, 2019
Mar 10, 2019
Mar 14, 2019
Mar 14, 2019
Mar 14, 2019
Mar 14, 2019
Mar 4, 2019
Apr 2, 2019
Mar 14, 2019
Apr 16, 2019
Apr 16, 2019
May 15, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Mar 4, 2019
Aug 11, 2019
Jan 14, 2019
Jan 14, 2019
Jan 14, 2019
Jan 14, 2019
Mar 13, 2019
Jan 14, 2019

How-to

  1. Unzip dataset.tar.gz

  2. Run any notebook using Jupyter Notebook.

Accuracy, not sorted

Based on training accuracy for 20 epochs.

name accuracy
1.basic-seq2seq-manual 0.816000
2.lstm-seq2seq-manual 0.735000
3.gru-seq2seq-manual 0.846833
4.basic-seq2seq-api-greedy 1.009119
5.lstm-seq2seq-api-greedy 0.984596
6.gru-seq2seq-greedy 1.008869
7.basic-birnn-seq2seq-manual 0.990333
8.lstm-birnn-seq2seq-manual 0.732833
9.gru-birnn-seq2seq-manual 0.936667
10.basic-birnn-seq2seq-greedy 1.009586
11.lstm-birnn-seq2seq-greedy 0.991938
12.gru-birnn-seq2seq-greedy 1.008791
13.basic-seq2seq-luong 0.821167
14.lstm-seq2seq-luong 0.723167
15.gru-seq2seq-luong 0.751667
16.basic-seq2seq-bahdanau 0.811833
17.lstm-seq2seq-bahdanau 0.721833
18.gru-seq2seq-bahdanau 0.728167
19.lstm-birnn-seq2seq-luong 0.728500
20.gru-birnn-seq2seq-luong 0.743833
21.lstm-birnn-seq2seq-bahdanau 0.718833
22.gru-birnn-seq2seq-bahdanau 0.746667
23.lstm-birnn-seq2seq-bahdanau-luong 0.721000
24.gru-birnn-seq2seq-bahdanau-luong 0.747667
25.lstm-seq2seq-greedy-luong 0.974864
26.gru-seq2seq-greedy-luong 0.999175
27.lstm-seq2seq-greedy-bahdanau 0.987874
28.gru-seq2seq-greedy-bahdanau 1.000434
29.lstm-seq2seq-beam 0.874802
30.gru-seq2seq-beam 0.905397
31.lstm-birnn-seq2seq-beam-luong 0.913772
32.gru-birnn-seq2seq-beam-luong 0.856824
33.lstm-birnn-seq2seq-luong-bahdanau-stack-beam 0.732801
34.gru-birnn-seq2seq-luong-bahdanau-stack-beam 0.756537
35.byte-net 0.877510
36.estimator
37.capsule-lstm-seq2seq-greedy 0.655007
38.capsule-lstm-seq2seq-luong-beam 0.275569
39.lstm-birnn-seq2seq-luong-bahdanau-stack-beam-dropout-l2 0.312999
40.dnc-seq2seq-bahdanau-greedy 0.962712
41.lstm-birnn-seq2seq-beam-luongmonotic 0.917333
42.lstm-birnn-seq2seq-beam-bahdanaumonotic 0.929333
43.memory-network-basic 0.945333
44.memory-network-lstm 0.900000
45.attention-is-all-you-need 0.704549
46.transformer-xl 0.874486
47.attention-is-all-you-need-beam-search 0.836433
48.transformer-xl-lstm 0.826571
49.gpt-2-lstm 0.645157
50.conv-encoder-conv-decoder 0.518504
51.conv-encoder-lstm 0.924609
52.tacotron-greedy 0.876267
53.tacotron-beam 0.855140
54.google-nmt 1.006089