AutoML VS makeZFS_armbian

Compare AutoML vs makeZFS_armbian and see what are their differences.

AutoML

This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream] (by microsoft)

makeZFS_armbian

RockPro64 Based NAS setup guide with ZFS (by nathmo)
Nas
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AutoML makeZFS_armbian
1 2
272 6
- -
8.1 10.0
over 2 years ago over 1 year ago
Python Python
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.

AutoML

Posts with mentions or reviews of AutoML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.

makeZFS_armbian

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

What are some alternatives?

When comparing AutoML and makeZFS_armbian you can also consider the following projects:

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

AutoDL-Projects - Automated deep learning algorithms implemented in PyTorch.

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

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

Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]

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

MPViT - [CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction

Movie_Data_Capture - Local Movies Organizer

T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet