OPUS-MT-train
Face-Recognition_Flutter
| OPUS-MT-train | Face-Recognition_Flutter | |
|---|---|---|
| 1 | 2 | |
| 302 | 61 | |
| 3.0% | - | |
| 1.7 | 0.0 | |
| about 2 months ago | over 3 years ago | |
| Makefile | Makefile | |
| MIT License | Apache License 2.0 |
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OPUS-MT-train
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Amazon releases 51-language dataset for language understanding
https://translatelocally.com/ is a nice gui around marian/bergamot. So far not very many bundled pairs, though I would guess any of the models from https://github.com/Helsinki-NLP/Opus-MT-train/tree/master/mo... and https://github.com/Helsinki-NLP/Tatoeba-Challenge/blob/maste... should be usable.
There is also Apertium, a rule-based system which is very good for some closely-related pairs that have had a lot of work put into them (especially translation between Romance languages, e.g. Spanish→Catalan, and Norwegian Bokmål→Nynorsk), and the only OK translator for some lesser-resourced languages (e.g. Northern Saami→Norwegian Bokmål), but very underdeveloped for anything to/from English (it feels a bit pointless writing rules for English where there is so much available data; RBMT shines where there's not enough available data, ie. most of the languages of the world)
Face-Recognition_Flutter
What are some alternatives?
Opus-MT - Open neural machine translation models and web services
awesome-flutter - An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
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.
Google-MLKit-Android-Apps - All Android Applications using Google MLKit [Java & Kotlin]
Tatoeba-Challenge
firekart - An Ecommerce application built in Flutter using Nodejs and MySQl.
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
flutter_programs - Experiments with Mobile
klpt - The Kurdish Language Processing Toolkit
tailor_made - ✄ Managing a Fashion designer's daily routine.