horovod VS seq2seq

Compare horovod vs seq2seq and see what are their differences.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. (by horovod)

seq2seq

A general-purpose encoder-decoder framework for Tensorflow (by google)
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horovod seq2seq
8 1
13,930 5,540
0.8% -
5.8 0.0
20 days ago over 3 years ago
Python Python
GNU General Public License v3.0 or later 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.

horovod

Posts with mentions or reviews of horovod. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-08.

seq2seq

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

We haven't tracked posts mentioning seq2seq yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

DeepDanbooru - AI based multi-label girl image classification system, implemented by using TensorFlow.

mpi4jax - Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

NudeNet - Neural Nets for Nudity Detection and Censoring

onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras

pycm - Multi-class confusion matrix library in Python

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

nsfw_model - Keras model of NSFW detector

lingvo - Lingvo

AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)