Hypernets VS autokeras

Compare Hypernets vs autokeras 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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autokeras

AutoML library for deep learning (by keras-team)
Automl neural-architecture-search automated-machine-learning Python Deep Learning Machine Learning autodl Tensorflow Keras
Source Code
autokeras.com
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Hypernets autokeras
1 5
261 9,066
0.8% 0.3%
7.7 5.3
8 days ago about 1 month ago
Python Python
Apache License 2.0 Apache License 2.0
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.

autokeras

Posts with mentions or reviews of autokeras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

What are some alternatives?

When comparing Hypernets and autokeras you can also consider the following projects:

de-torch - Minimal PyTorch Library for Differential Evolution

autogluon - Fast and Accurate ML in 3 Lines of Code

aizynthfinder - A tool for retrosynthetic planning

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

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

adanet - Fast and flexible AutoML with learning guarantees.

tf-keras-vis - Neural network visualization toolkit for tf.keras

automlbenchmark - OpenML AutoML Benchmarking Framework

AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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

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

Hypernets vs de-torch autokeras vs autogluon Hypernets vs aizynthfinder autokeras vs mljar-supervised Hypernets vs NAS-Projects autokeras vs adanet autokeras vs tf-keras-vis autokeras vs automlbenchmark autokeras vs AutoViz autokeras vs NAS-Projects autokeras vs deephyper autokeras vs FLAML