seq2seq VS horovod

Compare seq2seq vs horovod and see what are their differences.

seq2seq

A general-purpose encoder-decoder framework for Tensorflow (by google)

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod] (by uber)
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seq2seq horovod
1 1
5,540 11,889
- -
0.0 9.4
over 3 years ago over 2 years ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

seq2seq

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

horovod

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

What are some alternatives?

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

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

tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow

pycm - Multi-class confusion matrix library in Python

rxray - Ray distributed computing integration for RxPY

lingvo - Lingvo

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

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

client - DagsHub client libraries

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

ray_snowflake - Ray Data Connector for Snowflake

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others