autokeras
mkdocstrings
autokeras | mkdocstrings | |
---|---|---|
5 | 9 | |
9,067 | 1,579 | |
0.2% | 2.5% | |
5.3 | 8.4 | |
about 2 months ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | ISC License |
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
- Machine Learning Algorithms Cheat Sheet
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Ask HN: Which piece of tech is underutilized?
I think the interfaces aren't high level enough for the average programmer to adopt it. It needs what https://autokeras.com is for neural nets.
- Technical documentation that just works
- SVM training taking forever on my local machine. Will using AWS Sagemaker be faster for training SVM (Linear) models?
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[D] [P] How do you use tools like AutoML?
AutoKeras time_series_forecaster.py
mkdocstrings
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Starlite development updates January ’23
Mkdocs has the mkdocstrings plugin, offering limited automated API documentation capabilities. It is however nowhere near as capable as Sphinx' autodoc, missing granularity in its configuration, limited intersphinx-like cross-referencing support, and essential features like documentation of inherited members, or the ability to manually describe objects if needed.
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what's a good documentation platform that you guys would recommend?
mkdocstrings works well, although it is not as powerful as the API documentation in Sphinx.
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Stripe Open Sources Markdoc
Author of Materia for MkDocs here. MkDocstrings [1] implements automatic generation of reference documentation from sources. It's language-agnostic, actively maintained and currently supports Python [2] and Crystal [3]. It also integrates nicely with Material for MkDocs.
[1]: https://mkdocstrings.github.io/
- Mkdocstrings: Automatic Python documentation from sources, for MkDocs
- Technical documentation that just works
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mkdocstrings: the "autodoc" plugin for MkDocs
Some time has passed since I first introduced mkdocstrings here on reddit. If you don't know what mkdocstrings is: it's the equivalent of the autodoc Sphinx extension, but for MkDocs, a Markdown static site generator. It works differently though, and supports multiple languages by design (not only Python). Someone actually wrote a very good handler for the Crystal language, and another user on GitHub recently expressed their interest for writing one for Go.
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Python tutorials building large(r) projects
Write proper docstrings as you go along (every time you write a new class/method/function you can document what it’s doing as you’ll know why and what from the pattern you chose). Using a tool like mkdocstrings makes maintaining documentation for larger projects automatic.
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[Project] mkgendocs - Generating documentation from Python docstrings for MkDocs
I learned of https://github.com/pawamoy/mkdocstrings recently. Is it similar ?
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Python packages and plugins as namespace packages
A user of mkdocstrings wrote a Crystal handler for their own use-case. They asked on the Gitter channel if we could allow to load external handlers, so they don't have to fork the project and install the fork, but rather just install their lightweight package containing just the handler.
What are some alternatives?
autogluon - Fast and Accurate ML in 3 Lines of Code
mkdocs-material - Documentation that simply works
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
sphinx - The Sphinx documentation generator
adanet - Fast and flexible AutoML with learning guarantees.
pydocstyle - docstring style checker
tf-keras-vis - Neural network visualization toolkit for tf.keras
furo - A clean customizable documentation theme for Sphinx
automlbenchmark - OpenML AutoML Benchmarking Framework
cookietemple - A collection of best practice cookiecutter templates for all domains and languages with extensive Github support ⛺
AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
pydantic - Data validation using Python type hints