nni VS automlbenchmark

Compare nni vs automlbenchmark and see what are their differences.

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nni automlbenchmark
5 3
13,663 372
0.9% 2.2%
6.7 6.9
21 days ago 9 days 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.

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.

automlbenchmark

Posts with mentions or reviews of automlbenchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-24.

What are some alternatives?

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

optuna - A hyperparameter optimization framework

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

autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

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

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

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

tsflex - Flexible time series feature extraction & processing

LightAutoML - LAMA - automatic model creation framework

autokeras - AutoML library for deep learning

remote-jobs - A list of semi to fully remote-friendly companies (jobs) in tech.

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.