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

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

X Title: GitHub - hlibbabii/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" - hlibbabii/code2seq

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

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

Opengraph URL: https://github.com/hlibbabii/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" - hlibbabii/code2seq
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MIT licensehttps://patch-diff.githubusercontent.com/hlibbabii/code2seq
https://patch-diff.githubusercontent.com/hlibbabii/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/hlibbabii/code2seq#extending-to-other-languages
https://github.com/tech-srl/code2seq/raw/master/images/network.png
https://patch-diff.githubusercontent.com/hlibbabii/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/hlibbabii/code2seq#table-of-contents
Requirementshttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#requirements
Quickstarthttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#quickstart
Configurationhttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#configuration
Releasing a trained modehttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#releasing-a-trained-model
Extending to other languageshttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#extending-to-other-languages
Datasetshttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#datasets
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installhttps://www.tensorflow.org/install/install_linux
@Kolkirhttps://github.com/Kolkir/
https://github.com/Kolkir/code2seqhttps://github.com/Kolkir/code2seq
creating a new Java datasethttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#creating-and-preprocessing-a-new-java-dataset
manually examining a trained modelhttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#step-4-manual-examination-of-a-trained-model
JDKhttps://openjdk.java.net/install/
dotnet-corehttps://dotnet.microsoft.com/download
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#quickstart
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#step-0-cloning-this-repository
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#step-1-creating-a-new-dataset-from-java-sources
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#download-our-preprocessed-dataset-java-large-dataset-16m-examples-compressed-11g-extracted-125gb
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#creating-and-preprocessing-a-new-java-dataset
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config.pyhttps://patch-diff.githubusercontent.com/hlibbabii/code2seq/blob/master/config.py
Configurationhttps://patch-diff.githubusercontent.com/hlibbabii/code2seq#configuration
train.shhttps://patch-diff.githubusercontent.com/hlibbabii/code2seq/blob/master/train.sh
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#step-3-evaluating-a-trained-model
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#step-4-manual-examination-of-a-trained-model
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#note-1
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#configuration
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https://patch-diff.githubusercontent.com/hlibbabii/code2seq#confignum_epochs--3000
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@Kolkirhttps://github.com/Kolkir/
https://github.com/Kolkir/cppminerhttps://github.com/Kolkir/cppminer
@stasbelhttps://github.com/stasbel
https://github.com/tech-srl/code2seq/tree/master/Python150kExtractorhttps://github.com/tech-srl/code2seq/tree/master/Python150kExtractor
@izosakhttps://github.com/izosak
https://github.com/tech-srl/id2vechttps://github.com/tech-srl/id2vec
CMU SEI teamhttps://github.com/cmu-sei/code2vec-c
PathMinerhttps://github.com/JetBrains-Research/astminer
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preprocess.shhttps://patch-diff.githubusercontent.com/hlibbabii/code2seq/blob/master/preprocess.sh
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#datasets
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#java
Java-smallhttps://s3.amazonaws.com/code2seq/datasets/java-small.tar.gz
Java-medhttps://s3.amazonaws.com/code2seq/datasets/java-med.tar.gz
Java-largehttps://s3.amazonaws.com/code2seq/datasets/java-large.tar.gz
Java-small-preprocessedhttps://s3.amazonaws.com/code2seq/datasets/java-small-preprocessed.tar.gz
Java-med-preprocessedhttps://s3.amazonaws.com/code2seq/datasets/java-med-preprocessed.tar.gz
Java-large-preprocessedhttps://s3.amazonaws.com/code2seq/datasets/java-large-preprocessed.tar.gz
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#c
CodeNNhttps://github.com/sriniiyer/codenn/
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#baselines
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#using-the-trained-model
OpenNMT-pyhttp://opennmt.net/OpenNMT-py/
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#creating-data-for-the-baseline
thishttps://patch-diff.githubusercontent.com/hlibbabii/code2seq/blob/master/baseline_tokenization/subtokenize_nmt_baseline.py
thishttps://patch-diff.githubusercontent.com/hlibbabii/code2seq/blob/master/baseline_tokenization/input_example.txt
https://patch-diff.githubusercontent.com/hlibbabii/code2seq#citation
code2seq: Generating Sequences from Structured Representations of Codehttps://arxiv.org/pdf/1808.01400
code2seq.orghttp://code2seq.org
Readme https://patch-diff.githubusercontent.com/hlibbabii/code2seq#readme-ov-file
MIT license https://patch-diff.githubusercontent.com/hlibbabii/code2seq#MIT-1-ov-file
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