OPUS-MT-train VS deep-learning-drizzle

Compare OPUS-MT-train vs deep-learning-drizzle and see what are their differences.

OPUS-MT-train

Training open neural machine translation models (by Helsinki-NLP)
machine-translation Natural Language Processing Machine Learning language-technology
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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! (by kmario23)
Machine Learning Deep Learning deep-neural-networks Pattern Recognition Computer Vision Optimization visual-recognition reinforcement-learning deep-reinforcement-learning Natural Language Processing artificial-neural-networks artificial-intelligence-algorithms probabilistic-graphical-models bayesian-statistics speech-recognition graph-neural-networks medical-imaging geometric-deep-learning explainable-ai Probability
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deep-learning-drizzle.github.io
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OPUS-MT-train deep-learning-drizzle
1 1
302 11,764
3.0% -
1.7 0.0
about 2 months ago 3 months ago
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MIT License -
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OPUS-MT-train

Posts with mentions or reviews of OPUS-MT-train. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.
  • Amazon releases 51-language dataset for language understanding
    2 projects | news.ycombinator.com | 21 Apr 2022
    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)

deep-learning-drizzle

Posts with mentions or reviews of deep-learning-drizzle. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing OPUS-MT-train and deep-learning-drizzle you can also consider the following projects:

Opus-MT - Open neural machine translation models and web services

cs229-solution - CS229 Solution (summer 2019, 2020).

OPUS-MT-train vs Opus-MT deep-learning-drizzle vs cs229-solution