Hypernets VS NAS-Projects

Compare Hypernets vs NAS-Projects and see what are their differences.

NAS-Projects

Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects] (by D-X-Y)
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Hypernets NAS-Projects
1 1
261 1,288
0.8% -
7.7 9.4
7 days ago over 2 years 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.

Hypernets

Posts with mentions or reviews of Hypernets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-28.

NAS-Projects

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

What are some alternatives?

When comparing Hypernets and NAS-Projects you can also consider the following projects:

de-torch - Minimal PyTorch Library for Differential Evolution

autokeras - AutoML library for deep learning

aizynthfinder - A tool for retrosynthetic planning

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.