AutoDL-Projects VS Hypernets

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

AutoDL-Projects

Automated deep learning algorithms implemented in PyTorch. (by D-X-Y)
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AutoDL-Projects Hypernets
3 1
1,546 261
- 1.1%
1.8 7.6
about 2 years ago 8 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.

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.

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

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

de-torch - Minimal PyTorch Library for Differential Evolution

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

aizynthfinder - A tool for retrosynthetic planning

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

autokeras - AutoML library for deep learning

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

NAS-Projects - Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects]