nematus
Open-Source Neural Machine Translation in Tensorflow (by EdinburghNLP)
stopes
A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team. (by facebookresearch)
| nematus | stopes | |
|---|---|---|
| 1 | 1 | |
| 796 | 237 | |
| 0.0% | 1.3% | |
| 0.0 | 5.8 | |
| over 1 year ago | 5 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nematus
Posts with mentions or reviews of nematus.
We have used some of these posts to build our list of alternatives
and similar projects.
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Can I connect docker to Google Cloud's GPU?
Sorry if the title is not so clear, I am still very new to Docker and linux/bash scripts. For a project, I want to run a data science model that I have found on github (specifically this one: https://github.com/EdinburghNLP/nematus). However, given the huge amount of data that I want to train, I will need to run this model using GPU (and the only GPU I have access to at the moment is the ones provided by Google Cloud).
stopes
Posts with mentions or reviews of stopes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-21.
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[D] Hey Reddit! We're a bunch of research scientists and software engineers and we just open sourced a new state-of-the-art AI model that can translate between 200 different languages. We're excited to hear your thoughts so we're hosting an AMA on 07/21/2022 @ 9:00AM PT. Ask Us Anything!
We have a bunch! The model and data are available here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/modeling , LASER3 here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/laser\_distillation , training data here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/data , FLORES and our other human translated datasets here: https://github.com/facebookresearch/flores , and an entire modular pipeline for data cleaning here: https://github.com/facebookresearch/stopes. It's also available on HuggingFace! [angela]
What are some alternatives?
When comparing nematus and stopes you can also consider the following projects:
OpenSeq2Seq - Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
bitextor - Bitextor generates translation memories from multilingual websites
tm2tb - Bilingual term extractor
flores - Facebook Low Resource (FLoRes) MT Benchmark
OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Thirukkural-English-Translation-Dataset - Thirukural in English