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48f6375
CLI option to use inference unrolling during training
mkolod May 1, 2017
4608c67
Checkpoint
mkolod May 1, 2017
c5a1dfc
Inference rewrite
mkolod May 1, 2017
c88ea07
Inference fix WIP
mkolod May 1, 2017
8db5980
WIP
mkolod May 2, 2017
af657a2
WIP
mkolod May 2, 2017
b4d3234
WIP
mkolod May 2, 2017
a513a98
WIP
mkolod May 2, 2017
98763c1
Re-enable BLEU score before printing translations for inference
mkolod May 3, 2017
70a5243
WIP test set BLEU score
mkolod May 3, 2017
fee1e5c
Merge branch 'alternative_unrolling' of https://github.com/mkolod/mxn…
mkolod May 3, 2017
b44a215
WIP test set BLEU score
mkolod May 3, 2017
1fab8ce
WIP
mkolod May 3, 2017
99b6cd7
WIP
mkolod May 3, 2017
dc91468
Change preprocess to DE-EN
mkolod May 3, 2017
604502c
WMT15-DE-EN
mkolod May 3, 2017
7fc4e07
Fixed validation iterator
mkolod May 4, 2017
29f12da
Fixed dataset fetching
mkolod May 4, 2017
179313a
Correction of s2s preprocess data method arg order
mkolod May 4, 2017
f8d0631
Sanity check printing fix
mkolod May 4, 2017
5dc86a1
Prevent mem. reallocations
mkolod May 4, 2017
c26c1c9
More realloc fixes
mkolod May 4, 2017
e36fd44
Set all seeds (Python, NumPy and MxNet)
mkolod May 4, 2017
b8447cf
Report only final average BLEU
mkolod May 5, 2017
c140bcc
Print final BLEU and translations
mkolod May 5, 2017
1070919
Repo cleanup
mkolod May 16, 2017
c57d892
Remove rnn_cell
mkolod May 16, 2017
00c13e4
WIP
mkolod May 16, 2017
624fad8
WIP
mkolod May 17, 2017
40112a3
WIP
mkolod May 17, 2017
05dd934
WIP
mkolod May 17, 2017
3bbc669
WIP attention for training
mkolod May 17, 2017
5486c0e
WIP
mkolod May 18, 2017
d81b4d3
WIP
mkolod May 18, 2017
1c68810
WIP
mkolod May 18, 2017
f548222
WIP
mkolod May 18, 2017
4285117
Attention works?
mkolod May 18, 2017
b987b88
Correct attention WIP
mkolod May 22, 2017
13d1cd6
New attention works?
mkolod May 22, 2017
27bf572
New attention
mkolod May 22, 2017
d52fa23
scale attention only once
mkolod May 22, 2017
7a35432
Fixed decoder bug
mkolod May 23, 2017
0d6a307
Fixed place for attention concat
mkolod May 23, 2017
eb952f0
Input feed WIP
mkolod May 24, 2017
e9bef4a
Note on how to fix input feed
mkolod May 25, 2017
a5997cd
WIP input feed
mkolod May 25, 2017
77f215b
Inference works with input feed
mkolod May 25, 2017
1d44d24
Multi-GPU training working again
mkolod May 26, 2017
95ace12
Training and inference work with multi-GPU again
mkolod May 26, 2017
c216cd1
Attention is optional now (need to use a CLI switch to enable it)
mkolod May 26, 2017
af53f2b
Fixed bug in attention feed?
mkolod May 26, 2017
3c498fd
WIP
mkolod May 26, 2017
b296d1e
WIP
mkolod May 26, 2017
f6adf22
Fixed attention input with the decoder output, and input_feeding with…
mattiadg May 29, 2017
6e9d690
I refactored the code for the attention and I added it also to the in…
mattiadg May 29, 2017
c7cf714
Added a working bidirectional encoder
mattiadg May 29, 2017
ddb1b00
Merge pull request #6 from mattiadg/bidirectional
mkolod Jun 6, 2017
c1c11c1
Attention based on previous state
mkolod Jun 7, 2017
8929b81
Update README.md
mkolod Aug 7, 2017
d53289e
fix bug: bidirectional
xuerenlv Aug 11, 2017
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76 changes: 0 additions & 76 deletions Dockerfile

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202 changes: 202 additions & 0 deletions LICENSE.txt
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13 changes: 8 additions & 5 deletions seq2seq/README.md → README.md
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OpenNMT seq2seq model
==========================
LSTM encoder-decoder seq2seq model
==================================

This project is an implementation of the [OpenNMT sequence-to-sequence model](http://opennmt.net/Models/) in MxNet. The OpenNMT model is based on:
This project is an implementation of a simple encoder-decoder seq2seq model in MxNet. The OpenNMT model is based on:

- a stacked LSTM encoder
- a stacked LSTM decoder
- an attention model

The reference model configuration is:

Expand Down Expand Up @@ -38,8 +37,12 @@ How to run the scripts?
Credits
-------

Thanks to Eric Xie (@piiswrong) for the attention cell implementation.
Many thanks to Eric Xie (@piiswrong), Sheng Zha (@szha) and Antti-Pekka Hynninen (@ap-hynninen) for valuable input.

License
-------

This project is licensed under the Apache 2.0 license. See the text of the license [here](https://github.com/mkolod/mxnet_seq2seq/blob/master/LICENSE.txt).

> **Note:**

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File renamed without changes.
File renamed without changes.
File renamed without changes.
43 changes: 43 additions & 0 deletions get_opennmt_data.sh
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#!/bin/bash

DATA_DIR_ROOT="./data"
DATA_DIR="${DATA_DIR_ROOT}/wmt15-de-en"

mkdir -p ${DATA_DIR}

pushd . > /dev/null

cd ${DATA_DIR_ROOT}

echo -e "\nDownloading dataset"

wget https://s3.amazonaws.com/opennmt-trainingdata/wmt15-de-en.tgz

echo -e "\nDecompressing dataset\n"

tar xvf wmt15-de-en.tgz

echo -e "\nConcatenating corpora"

cd wmt15-de-en

# concatenate corpora - note concatenation has to be in
# the same order for both languages

# we will split this into training and validation sets
cat commoncrawl.de-en.de europarl-v7.de-en.de news-commentary-v10.de-en.de > train.de
# the test set already officially exists
mv newstest2013.de valid.de

wget -O test.de https://nlp.stanford.edu/projects/nmt/data/wmt14.en-de/newstest2014.de

# do the same thing to English corpora

cat commoncrawl.de-en.en europarl-v7.de-en.en news-commentary-v10.de-en.en > train.en
mv newstest2013.en valid.en

wget -O test.en https://nlp.stanford.edu/projects/nmt/data/wmt14.en-de/newstest2014.en

popd > /dev/null

echo -e "\nData download complete\n"
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