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Seq2Seq

Syntologyentry name in harvested coderead from the graph 2026-09-24

Seq2Seq appears in the code Syntology harvested for 6 papers, as 12 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named Seq2Seq do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 5 of the 12 distinct code bodies named Seq2Seq; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
5ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 12 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

6 papers shown of 6, newest first; 12 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation 2 Sep 2021 salesforce/CodeT5/CodeT5/models.py fde59ee6f478c51c unverified BSD-3-Clause (permissive)
CodeBERT: A Pre-Trained Model for Programming and Natural Languages 19 Feb 2020 zfj1998/CodeBert-Code2Text/code/model.py 09b02d6c43ccfaa8 unverified no licence file found · pointer only
CodeBERT: A Pre-Trained Model for Programming and Natural Languages 19 Feb 2020 microsoft/CodeBERT/CodeBERT/code2nl/model.py 8053f41db1d56bde unverified MIT (permissive)
Attention Is All You Need 12 Jun 2017 akashe/Python-Code-Generation/model.py dfb9c8f444a9dc01 ran no licence file found · pointer only
Attention Is All You Need 12 Jun 2017 Andrey885/Machine_translation_PyTorch/models.py 7e9440e2c269d7f8 ran no licence file found · pointer only
Attention Is All You Need 12 Jun 2017 monimoyd/NLPEnglishToPythonCodeUsingTransformer/models/english_to_python_transformer.py dcb26e722b558f56 unverified no licence file found · pointer only
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation 26 Sep 2016 ZHANG45/multi_gpu_seq2seq/seq2seq2.py 92bf320d3ebcecdb ran · metamorphic tier: deterministic no licence file found · pointer only
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation 26 Sep 2016 kh-kim/simple-nmt/simple_nmt/models/seq2seq.py 14b02b13476db551 unverified no licence file found · pointer only
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation 3 Jun 2014 Nick-Zhao-Engr/Machine-Translation/hannmtModel/HANNMT/compare/1_RNN_Encoder-Decoder_for_SMT.py 97aaf6f5558112f8 ran no licence file found · pointer only
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation 3 Jun 2014 littleflow3r/Japanese_English_Machine_Translation_Seq2Seq/model.py c1747f21ffe18473 ran no licence file found · pointer only
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation 3 Jun 2014 graykode/nlp-tutorial/4-1.Seq2Seq/Seq2Seq.py 0e85857408d20491 unverified MIT (permissive)
arXiv:2023.findings-emnlp.4 AI4Bharat/IndicXlit/app/ai4bharat/transliteration/rnn/core.py 643c13c8fa3c7dcc unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections