Hypernets VS nni

Compare Hypernets vs nni and see what are their differences.

Hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains. (by DataCanvasIO)
neural-architecture-search hyperparameter-optimization hyperparameter-tuning evolutionary-algorithms monte-carlo-tree-search Automl autodl reinforcement-learning mcts Nas Keras nasnet enas
Source Code
hypernets.readthedocs.io
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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. (by microsoft)
Automl Deep Learning neural-architecture-search hyperparameter-optimization Distributed bayesian-optimization automated-machine-learning Machine Learning machine-learning-algorithms Data Science Tensorflow Pytorch neural-network deep-neural-network model-compression feature-engineering Nas Python hyperparameter-tuning Mlops
Source Code
nni.readthedocs.io
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Hypernets nni
1 5
261 13,742
0.8% 1.0%
7.7 6.7
8 days ago about 2 months ago
Python Python
Apache License 2.0 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.

Hypernets

Posts with mentions or reviews of Hypernets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-28.

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 Hypernets and nni you can also consider the following projects:

de-torch - Minimal PyTorch Library for Differential Evolution

optuna - A hyperparameter optimization framework

aizynthfinder - A tool for retrosynthetic planning

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

autokeras - AutoML library for deep learning

autogluon - Fast and Accurate ML in 3 Lines of Code

NAS-Projects - Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects]

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

Hypernets vs de-torch nni vs optuna Hypernets vs aizynthfinder nni vs FLAML Hypernets vs autokeras nni vs autogluon Hypernets vs NAS-Projects nni vs AutoML nni vs hyperopt nni vs archai nni vs automlbenchmark nni vs tsflex