NAS-Projects VS nni

Compare NAS-Projects vs nni and see what are their differences.

NAS-Projects

Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects] (by D-X-Y)
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NAS-Projects nni
1 5
1,288 13,742
- 0.5%
9.4 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.

NAS-Projects

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

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 NAS-Projects and nni you can also consider the following projects:

autokeras - AutoML library for deep learning

optuna - A hyperparameter optimization framework

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

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

Hypernets - A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

autogluon - Fast and Accurate ML in 3 Lines of Code

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.

automlbenchmark - OpenML AutoML Benchmarking Framework

tsflex - Flexible time series feature extraction & processing

LightAutoML - LAMA - automatic model creation framework