seq2seq VS nni

Compare seq2seq vs nni and see what are their differences.

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seq2seq nni
1 5
5,540 13,726
- 0.9%
0.0 6.7
over 3 years ago about 2 months ago
Python Python
Apache License 2.0 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.

seq2seq

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

nni

Posts with mentions or reviews of nni. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-04.

What are some alternatives?

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

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

optuna - A hyperparameter optimization framework

pycm - Multi-class confusion matrix library in Python

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

lingvo - Lingvo

autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code

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

AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]

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

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.