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Showing content from https://github.com/lsgrep/mldocs below:

lsgrep/mldocs: Alfred Workflow for TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Statsmodels, Jax, RLLib API Docs

Alfred workflow for searching essential machine learning library API docs(it requires macOS, Alfred with Powerpack license).

Supported Libraries(all stable versions unless specified otherwise)

Checkout the Releases, download the latest mldocs.alfredworkflow, then double click it(You have to have Alfred + Powerpack License). For MacOS Monterey or newer versions, please install 1.x.x or new versions. For older MacOS versions, please use 0.0.5.

There is a background process that checks update every 7 days, and there will be an option to upgrade to the latest version.

ml workflow:update will force update.
ml workflow:noautoupdate will turn off the auto update.
ml workflow:autoupdate will enable the auto update.

For convenience, a few prefixes are automatically expanded(see PR for more).

np => numpy
pd => pandas
plt => pyplot
sns => seaborn

mldocs fetches the doc data from Github(data/ml.json), then caches the data for a few days
The first query will be slow then it will be pretty fast afterwards
The plan is to update the ml.json periodically, so you won't have to update the workflow manually

To force update the local cache

ml workflow:delcache

I've also merged my commonly used links(data/base.json) into the ml.json as well. If you want to add your favorite website or link please submit a PR(just edit the base.json).

keyword link description ? https://github.com/lsgrep/mldocs colab http://colab.research.google.com/ kaggle https://www.kaggle.com/ Google Dataset Search https://datasetsearch.research.google.com/ gds https://datasetsearch.research.google.com/ paper https://paperswithcode.com/

You can enter the query directly in the Alfred with the keyword ml gds KEYWORD...

You can enter the query directly in the Alfred with the keyword ml paper KEYWORD...

ml.json will be periodically updated to the latest versions of TensorFlow & PyTorch

Not supported yet, but will add them in the future.

add Scikit-learn support
add NumPy support
add Pandas support
add Matplotlib support
add Statsmodels support
add Seaborn support
add Jax support
Add Ray support
Add LightGBM support
Add XGBoost support
add Automatic Update
add Github Actions to generate ml.json
add keyword descriptions for TensorFlow
add keyword descriptions for PyTorch

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