klpt
Opus-MT
| klpt | Opus-MT | |
|---|---|---|
| 1 | 3 | |
| 91 | 530 | |
| - | 4.9% | |
| 1.8 | 4.8 | |
| about 2 years ago | 12 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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klpt
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Insert tsvector data without using to_tsvector()
I did try it. And it's very good except for the part that I have a Hunspell dictionary with some custom logic (similar to snowball stemmers). Unfortunately I don't have a snowball stemmer so postgres simply ignores words that are not in the hunspell dictionary. So I want to use this library to do the stemming: https://github.com/sinaahmadi/klpt as it has custom rules implemented in python instead of relying on postgres
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?
OPUS-MT-train - Training open neural machine translation models
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch
HiddenEye-Legacy - Modern Phishing Tool With Advanced Functionality And Multiple Tunnelling Services [ Android-Support-Available ]
fastText - Library for fast text representation and classification.
xsser - Cross Site "Scripter" (aka XSSer) is an automatic -framework- to detect, exploit and report XSS vulnerabilities in web-based applications.
Neural-Machine-Translated-communication-system - The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
nicegui - Create web-based user interfaces with Python. The nice way.
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.