NAS-Projects VS Hypernets

Compare NAS-Projects vs Hypernets 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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NAS-Projects Hypernets
1 1
1,288 261
- 1.1%
9.4 7.6
over 2 years ago 4 days ago
Python Python
MIT License 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.

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.

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.

What are some alternatives?

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

autokeras - AutoML library for deep learning

de-torch - Minimal PyTorch Library for Differential Evolution

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

aizynthfinder - A tool for retrosynthetic planning

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