deep-learning-drizzle VS OPUS-MT-train

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

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
Source Code
deep-learning-drizzle.github.io
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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 OPUS-MT-train
1 1
11,764 302
- 3.0%
0.0 1.7
3 months ago about 2 months ago
HTML Makefile
- MIT License
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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.

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)

What are some alternatives?

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

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

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

ultimate-volleyball-starter - Tutorial kit for building a 3D deep reinforcement learning environment with Unity ML-Agents.

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.

awesome-full-stack-machine-learning-courses - Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

Tatoeba-Challenge

bidd-molmap - MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning

tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

Face-Recognition_Flutter - A sample Face recognition app using Flutter and Firebase ML Kit

Contour-Based-Writing - This is a simple concept to do writing like operation using the contours. Please follow the article https://q-viper.github.io/2020/08/28/gesture-based-visually-writing-system-web-app/ for further details.

klpt - The Kurdish Language Processing Toolkit

deep-learning-drizzle vs cs229-solution OPUS-MT-train vs Opus-MT deep-learning-drizzle vs ultimate-volleyball-starter OPUS-MT-train vs NLP-progress deep-learning-drizzle vs awesome-full-stack-machine-learning-courses OPUS-MT-train vs Tatoeba-Challenge deep-learning-drizzle vs bidd-molmap OPUS-MT-train vs tensor2tensor deep-learning-drizzle vs deep-rl-class OPUS-MT-train vs Face-Recognition_Flutter deep-learning-drizzle vs Contour-Based-Writing OPUS-MT-train vs klpt