OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch (by OpenNMT)
woob-qt | OpenNMT-py | |
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1 | 6 | |
- | 6,599 | |
- | 1.2% | |
- | 8.7 | |
- | 11 days ago | |
Python | ||
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
woob-qt
Posts with mentions or reviews of woob-qt.
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OpenNMT-py
Posts with mentions or reviews of OpenNMT-py.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-26.
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Making a custom Google Translate equivalent / web translation filter for my conlang?
I already tried this with OpenNMT.
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Cutting edge language translation models
fairseq and OpenNMT are very good starting points if you want to train your NMT model from scratch.
- How Telegram Messenger circumvents Google Translate's API
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WEBNLG challenge 2017 on Google Colab error
It looks like this uses the version of OpenNMT implemented in torch, which has been deprecated. You will be much better off using the pytorch implementation of OpenNMT or the transformers library. In fact, I would recommend taking a look at the GEM benchmark, since it also uses the WebNLG dataset. Here is a tutorial to get started, you can change the dataset here to WebNLG instead of CommonGen.
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Help with Neural Machine Translation
Umm... open-nmt This is a library maintained since 2016 for NMT
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Oop concepts for pytorch
However, you do not need to use much OOP when training models with pytorch. Most of the time it is just inheriting a class and overwriting functions. You might need more advanced stuff if you were writing a framework on top of it, something like ONMT