dear @moslemmj here are the links to a few work for review: - [ ] [NMT with Attention](https://www.tensorflow.org/tutorials/text/nmt_with_attention) - [ ] [tensorflow/nmt](https://github.com/tensorflow/nmt) -- it uses tf 1.15 - [ ] [Sequence2Sequence course from coursera.org](https://www.coursera.org/learn/nlp-sequence-models/home/welcome) - [ ] [Sequence2Sequence course from coursera.org-course codes ](https://github.com/Kulbear/deep-learning-coursera/tree/master/Sequence%20Models) - [ ] [ Neural Machine Translation and Sequence-to-sequence Models:A Tutorial](https://arxiv.org/pdf/1703.01619.pdf) --- a paper - [ ] [OpenNMT](https://forum.opennmt.net/c/tutorials/10) -- a discussion form - [ ] [NMT with python-1](https://towardsdatascience.com/neural-machine-translation-with-python-c2f0a34f7dd) - [ ] [NMT with python-2](https://towardsdatascience.com/neural-machine-translator-with-less-than-50-lines-of-code-guide-1fe4fdfe6292) - [ ] [NMT with python-3](https://towardsdatascience.com/neural-machine-translation-15ecf6b0b) - [ ] [NMT with python-4](https://blog.paperspace.com/neural-machine-translation-with-tensorflow/) - [ ] [Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English](https://arxiv.org/pdf/1701.01854.pdf) - a research paper - you can check their work and dataset and results - [ ] [TrainedModels](https://github.com/DemoVersion/TrainedModels) - a trained models on NMT, check how we can use them! - [ ] [NMT with python-5](https://machinelearningmastery.com/develop-neural-machine-translation-system-keras/) - check comments for this blog too, there are interesting discussion - [ ] [NMT with python-6](https://machinelearningmastery.com/encoder-decoder-long-short-term-memory-networks/) I will add any resource if I see it's good to now!
dear @moslemmj
here are the links to a few work for review:
I will add any resource if I see it's good to now!