Transformer-Models-from-Scratch
OpenNMT-py
| Transformer-Models-from-Scratch | OpenNMT-py | |
|---|---|---|
| 1 | 6 | |
| 62 | 6,574 | |
| - | 0.9% | |
| 0.0 | 8.7 | |
| about 2 years ago | 12 days ago | |
| Jupyter Notebook | Python | |
| - | MIT License |
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Transformer-Models-from-Scratch
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[D] Transformer-Models-from-Scratch
Transformer-Models-from-Scratch
OpenNMT-py
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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
What are some alternatives?
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
emotion-classifier - An attention-based BiLSTM for emotion classification.
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
Opus-MT - Open neural machine translation models and web services
OpenNMT - Open Source Neural Machine Translation in Torch (deprecated)
LibreTranslate - Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
espnet - End-to-End Speech Processing Toolkit
AllTrans - Completely Translate Android apps in-place aka Google translate in Chrome