AutoML VS nni

Compare AutoML vs nni 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)
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AutoML nni
1 5
272 13,742
- 0.5%
8.1 6.7
over 2 years ago about 2 months 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.

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.

nni

Posts with mentions or reviews of nni. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-04.

What are some alternatives?

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

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

optuna - A hyperparameter optimization framework

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

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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

autogluon - Fast and Accurate ML in 3 Lines of Code

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

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

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

automlbenchmark - OpenML AutoML Benchmarking Framework

tsflex - Flexible time series feature extraction & processing