tm2tb VS seq2seq

Compare tm2tb vs seq2seq and see what are their differences.

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tm2tb seq2seq
1 1
47 5,540
- -
8.3 0.0
5 months ago over 3 years ago
Python Python
GNU General Public License v3.0 only Apache License 2.0
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.

tm2tb

Posts with mentions or reviews of tm2tb. We have used some of these posts to build our list of alternatives and similar projects.

seq2seq

Posts with mentions or reviews of seq2seq. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing tm2tb and seq2seq you can also consider the following projects:

edenai-apis - Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

lingvo - Lingvo

pycm - Multi-class confusion matrix library in Python

stopes - A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.

argos-translate - Open-source offline translation library written in Python

datatap-python - Focus on Algorithm Design, Not on Data Wrangling

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

umamusu-translate - A toolset (+patch) for translating Uma Musume: Pretty Derby

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]