autoalbument VS nni

Compare autoalbument vs nni and see what are their differences.

autoalbument

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/ (by albumentations-team)
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autoalbument nni
1 3
135 10,884
3.0% 2.6%
1.1 9.7
5 months ago 1 day 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.

autoalbument

Posts with mentions or reviews of autoalbument. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-01.

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 autoalbument and nni you can also consider the following projects:

optuna - A hyperparameter optimization framework

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

FLAML - A fast library for AutoML and tuning.

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

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

LightAutoML - LAMA - automatic model creation framework

torchextractor - Feature extraction made simple with torchextractor

automlbenchmark - OpenML AutoML Benchmarking Framework

lightwood - Lightwood is Legos for Machine Learning.

waypoint-examples - Example Apps that can be deployed with Waypoint

Sklearn-genetic-opt - Hyperparameters tuning and feature selection, using evolutionary algorithms.