AutoDL-Projects VS NAS-Projects

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

AutoDL-Projects

Automated deep learning algorithms implemented in PyTorch. (by D-X-Y)

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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AutoDL-Projects NAS-Projects
3 1
1,546 1,288
- -
1.8 9.4
about 2 years ago over 2 years ago
Python Python
MIT License 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.

AutoDL-Projects

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

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 AutoDL-Projects and NAS-Projects you can also consider the following projects:

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

autokeras - AutoML library for deep learning

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

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

Hypernets - A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

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