Neural-Machine-Translated-communication-system
Opus-MT
| Neural-Machine-Translated-communication-system | Opus-MT | |
|---|---|---|
| 1 | 3 | |
| 9 | 532 | |
| - | 5.3% | |
| 0.0 | 4.8 | |
| almost 2 years ago | 19 days ago | |
| Python | Python | |
| MIT License | MIT License |
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Neural-Machine-Translated-communication-system
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Neural Machine Translated Communication System
Project Link : https://github.com/Nix-code/Nix-code-Neural-Machine-Translation-communication-system-
Opus-MT
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“sync,corrected by elderman” issue in ML translation datasets spread on internet
- mention on GitHub repo of a translation model https://github.com/Helsinki-NLP/Opus-MT/issues/62
I'm curious to see if anyone else has interesting encounters with this
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How worried are you about AI taking over music?
Yes, most models these days, except the exceptionally large ones, are possible to train on a laptop. Of course it helps if your laptop has Nvidia CUDA GPU, but even if it doesn't you can rent an AWS 4 core/16GB GPU instance for 0.5 cents an hour. 24 hours of training time would be quite a lot for most models, unless you're trying to train a FB any to any language type model, but typically the big huge models are not the most interesting ones, and you can get very good results, and interesting models with substantially smaller sets of data. Opus MT models are only one language to one language, but they're about 300MB a model, and the quality rivals FB's models, and the speed is substantially faster. I don't have as many examples from the music space, as it's still a fairly under explored area, but Google has released Magenta which is a pretrained Tensorflow music model(actually a group of 3-4 models).
- Helsinki-NLP/Opus-MT: Open neural machine translation models and web services
What are some alternatives?
NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
OPUS-MT-train - Training open neural machine translation models
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch
fastText - Library for fast text representation and classification.
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
klpt - The Kurdish Language Processing Toolkit
tensorflow - An Open Source Machine Learning Framework for Everyone