Comments (2)
Hey!
No paper exists ATM. In a few words, we do "word2vec" on source code identifiers and many other things besides. We base on Babelfish's UASTs. vecino finds similar GitHub repositories and uses ast2vec as the engine. Currently, we are preparing ast2vec for the release, uploading the models, ensuring that the training pipeline works for everybody, writing manuals, etc. The repo is not empty; we follow the git flow and work in develop branch.
We will be happy to answer your questions in our Slack community channel - everybody can register.
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we follow the git flow and work in develop branch
Oops.
Cool stuff, thanks!
from ml.
Related Issues (20)
- Add "single-shot" mode to the token parser HOT 6
- Improve the test coverage HOT 2
- Repair docker builds HOT 3
- Unable to install sourced-ml using pipenv as well as pip3 on Mac OS X HOT 1
- preprocrepos: what is this for and who is dzhigurda? HOT 2
- API abstraction after cmd but before transformers HOT 1
- Add Output and Input types to Transformers HOT 1
- Installing fails with Python 3.7 HOT 3
- ValueError: RDD is empty HOT 4
- line 581, in read_int raise EOFError HOT 3
- Avoid using pandas HOT 2
- Wrong input passed to UastRow2Document
- How can I use the ast2vec? HOT 1
- Repair docker build
- Resolve all documentation issues
- Add README to id_splitter algorithm HOT 2
- Reanimate sourced-ml HOT 4
- Split sourced-ml package to algorithms and data collection parts HOT 1
- Integrate the neural token splitter HOT 8
- Improve TokenParser in cases containing abbreviations HOT 2
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from ml.