NAS-Projects
Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects] (by D-X-Y)
AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch. (by D-X-Y)
| NAS-Projects | AutoDL-Projects | |
|---|---|---|
| 1 | 3 | |
| 1,288 | 1,546 | |
| - | - | |
| 9.4 | 1.8 | |
| over 2 years ago | about 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.
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.
-
GDAS paper : Searching for A Robust Neural Architecture in Four GPU Hours
Code for https://arxiv.org/abs/1910.04465 found: https://github.com/D-X-Y/NAS-Projects
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.
-
Forward pass computation for GDAS NAS coding
https://github.com/D-X-Y/AutoDL-Projects/issues/99#issuecomment-835802887
-
Backpropagation for Network Architecture Search (NAS)
However in GDAS, there are multiple parallel edges in between two nodes.
-
Gumbel-Max implementation
Could anyone explain how this Gumbel-Max code implementation works ?
What are some alternatives?
When comparing NAS-Projects and AutoDL-Projects you can also consider the following projects:
autokeras - AutoML library for deep learning
makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Hypernets - A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.