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Title: GitHub - esti-tech/code2seq: Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

Open Graph Title: GitHub - esti-tech/code2seq: Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

X Title: GitHub - esti-tech/code2seq: Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

Description: Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code" - esti-tech/code2seq

Open Graph Description: Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code" - esti-tech/code2seq

X Description: Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code" - esti-tech/code2seq

Opengraph URL: https://github.com/esti-tech/code2seq

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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og:image:altCode for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code" - esti-tech/code2seq
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READMEhttps://patch-diff.githubusercontent.com/esti-tech/code2seq
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https://patch-diff.githubusercontent.com/esti-tech/code2seq#code2seq
Uri Alonhttp://urialon.cswp.cs.technion.ac.il
Shaked Brodyhttp://www.cs.technion.ac.il/people/shakedbr/
Omer Levyhttps://levyomer.wordpress.com
Eran Yahavhttp://www.cs.technion.ac.il/~yahave/
[PDF]https://openreview.net/pdf?id=H1gKYo09tX
herehttps://urialon.cswp.cs.technion.ac.il/wp-content/uploads/sites/83/2019/05/ICLR19_poster_code2seq.pdf
https://code2seq.orghttps://code2seq.org
Extending to other languageshttps://patch-diff.githubusercontent.com/esti-tech/code2seq#extending-to-other-languages
https://github.com/tech-srl/code2seq/raw/master/images/network.png
https://patch-diff.githubusercontent.com/esti-tech/code2seq#see-also
PDFhttps://arxiv.org/pdf/1910.00577.pdf
http://AnyCodeGen.orghttp://AnyCodeGen.org
PDFhttps://arxiv.org/pdf/1910.07517.pdf
PDFhttps://arxiv.org/pdf/1902.09122
PDFhttps://urialon.cswp.cs.technion.ac.il/wp-content/uploads/sites/83/2018/12/code2vec-popl19.pdf
https://code2vec.orghttps://code2vec.org
codehttps://github.com/tech-srl/code2vec/
https://patch-diff.githubusercontent.com/esti-tech/code2seq#table-of-contents
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Quickstarthttps://patch-diff.githubusercontent.com/esti-tech/code2seq#quickstart
Configurationhttps://patch-diff.githubusercontent.com/esti-tech/code2seq#configuration
Releasing a trained modehttps://patch-diff.githubusercontent.com/esti-tech/code2seq#releasing-a-trained-model
Extending to other languageshttps://patch-diff.githubusercontent.com/esti-tech/code2seq#extending-to-other-languages
Datasetshttps://patch-diff.githubusercontent.com/esti-tech/code2seq#datasets
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https://patch-diff.githubusercontent.com/esti-tech/code2seq#requirements
python3https://www.linuxbabe.com/ubuntu/install-python-3-6-ubuntu-16-04-16-10-17-04
installhttps://www.tensorflow.org/install/install_linux
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JDKhttps://openjdk.java.net/install/
dotnet-corehttps://dotnet.microsoft.com/download
https://patch-diff.githubusercontent.com/esti-tech/code2seq#quickstart
https://patch-diff.githubusercontent.com/esti-tech/code2seq#step-0-cloning-this-repository
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https://patch-diff.githubusercontent.com/esti-tech/code2seq#download-our-preprocessed-dataset-java-large-dataset-16m-examples-compressed-11g-extracted-125gb
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train.shhttps://patch-diff.githubusercontent.com/esti-tech/code2seq/blob/master/train.sh
config.pyhttps://patch-diff.githubusercontent.com/esti-tech/code2seq/blob/master/config.py
Configurationhttps://patch-diff.githubusercontent.com/esti-tech/code2seq#configuration
train.shhttps://patch-diff.githubusercontent.com/esti-tech/code2seq/blob/master/train.sh
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https://patch-diff.githubusercontent.com/esti-tech/code2seq#extending-to-other-languages
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https://github.com/Kolkir/cppminerhttps://github.com/Kolkir/cppminer
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https://github.com/tech-srl/code2seq/tree/master/Python150kExtractorhttps://github.com/tech-srl/code2seq/tree/master/Python150kExtractor
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https://github.com/tech-srl/id2vechttps://github.com/tech-srl/id2vec
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https://patch-diff.githubusercontent.com/esti-tech/code2seq#datasets
https://patch-diff.githubusercontent.com/esti-tech/code2seq#java
Java-smallhttps://s3.amazonaws.com/code2seq/datasets/java-small.tar.gz
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https://patch-diff.githubusercontent.com/esti-tech/code2seq#c
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https://patch-diff.githubusercontent.com/esti-tech/code2seq#baselines
https://patch-diff.githubusercontent.com/esti-tech/code2seq#using-the-trained-model
OpenNMT-pyhttp://opennmt.net/OpenNMT-py/
https://patch-diff.githubusercontent.com/esti-tech/code2seq#creating-data-for-the-baseline
thishttps://patch-diff.githubusercontent.com/esti-tech/code2seq/blob/master/baseline_tokenization/subtokenize_nmt_baseline.py
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https://patch-diff.githubusercontent.com/esti-tech/code2seq#citation
code2seq: Generating Sequences from Structured Representations of Codehttps://arxiv.org/pdf/1808.01400
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