Anwarvic/ConvS2S
This is PyTorch implementation of the "Convolutional Sequence to Sequence Learning" paper published by FacebookAI in 2017.
This project helps machine learning engineers and researchers implement a high-performance machine translation model. It takes parallel text data (source and target language sentences) and outputs a trained model capable of translating text. The goal is to provide a faster and potentially more accurate alternative to traditional sequence-to-sequence models for text translation.
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Use this if you are an ML engineer or researcher looking to experiment with or implement a convolutional sequence-to-sequence model for neural machine translation, especially if you need faster training and translation times than recurrent models.
Not ideal if you need an out-of-the-box translation service or a non-developer-friendly application.
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Language
Python
License
Apache-2.0
Category
Last pushed
Aug 28, 2021
Commits (30d)
0
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