docs VS autokeras

Compare docs vs autokeras and see what are their differences.

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docs autokeras
103 5
180 9,067
2.2% 0.2%
7.7 5.3
6 days ago about 1 month ago
HTML Python
Creative Commons Attribution Share Alike 4.0 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.

docs

Posts with mentions or reviews of docs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-08.

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 docs and autokeras you can also consider the following projects:

mkdocs-material - Documentation that simply works

autogluon - Fast and Accurate ML in 3 Lines of Code

docker-pi-hole - Pi-hole in a docker container

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

mike - Manage multiple versions of your MkDocs-powered documentation via Git

adanet - Fast and flexible AutoML with learning guarantees.

mkdocstrings - :blue_book: Automatic documentation from sources, for MkDocs.

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

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

automlbenchmark - OpenML AutoML Benchmarking Framework

nextdns - NextDNS CLI client (DoH Proxy)

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