autokeras VS deephyper

Compare autokeras vs deephyper and see what are their differences.

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autokeras deephyper
5 1
9,066 261
0.3% 2.7%
5.3 7.9
about 1 month ago 16 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

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.

deephyper

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

What are some alternatives?

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

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

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

adanet - Fast and flexible AutoML with learning guarantees.

keras-tuner - A Hyperparameter Tuning Library for Keras

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

openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

automlbenchmark - OpenML AutoML Benchmarking Framework

compression - Data compression in TensorFlow

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

ml-engineering - Machine Learning Engineering Open Book