GAug
AAAI'21: Data Augmentation for Graph Neural Networks (by zhao-tong)
eda_nlp
Data augmentation for NLP, presented at EMNLP 2019 (by jasonwei20)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GAug
Posts with mentions or reviews of GAug.
We have used some of these posts to build our list of alternatives
and similar projects.
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[D] What are some graph data augmentations?
Code for https://arxiv.org/abs/2006.06830 found: https://github.com/GAugAuthors/GAug
eda_nlp
Posts with mentions or reviews of eda_nlp.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Getting Identical Results with Different Models
Code for https://arxiv.org/abs/1901.11196 found: https://github.com/jasonwei20/eda_nlp
What are some alternatives?
When comparing GAug and eda_nlp you can also consider the following projects:
Sentence-Adder-Anki-Addon - Add sentences to Anki editor window in one click
genius - 💡GENIUS – generating text using sketches! A strong text generation & data augmentation tool.
thesaurus - Offline database of synonyms/thesaurus
pytorch_deep_learning - Using Pytorch to Create Deep Learning Models.