nni VS archai

Compare nni vs archai and see what are their differences.

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nni archai
5 3
13,708 451
0.8% 0.7%
6.7 8.3
about 1 month ago 4 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.

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.

archai

Posts with mentions or reviews of archai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-02.

What are some alternatives?

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

optuna - A hyperparameter optimization framework

only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

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

autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code

sapientml - Generative AutoML for Tabular Data

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

deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

automlbenchmark - OpenML AutoML Benchmarking Framework

autokeras - AutoML library for deep learning