seq2seq VS Thirukkural-English-Translation-Dataset

Compare seq2seq vs Thirukkural-English-Translation-Dataset and see what are their differences.

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seq2seq Thirukkural-English-Translation-Dataset
1 3
5,540 14
- -
0.0 0.0
over 3 years ago over 2 years ago
Python Python
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.
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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.

seq2seq

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

Thirukkural-English-Translation-Dataset

Posts with mentions or reviews of Thirukkural-English-Translation-Dataset. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-04.

What are some alternatives?

When comparing seq2seq and Thirukkural-English-Translation-Dataset you can also consider the following projects:

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

thirukkural-dataset - A dataset containing all the verses of Thirukkural in Unicode format

pycm - Multi-class confusion matrix library in Python

LeetComp - Background tasks and app powering the static content at LeetComp

lingvo - Lingvo

api - Moved to https://github.com/covid19india/data/

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

portfoliomanager - Track financial goals using contributions to Shares, Restricted Stock Units, Employee Stock Purchase Plan, 401K, Gold, Crypto, Provident Fund, Sukanya Samriddhi, Mutual Funds

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

Naaladiyar-English-Dataset - Naaladiyar in English

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

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