
Machine Learning Tooling
@mltooling
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We help you discover awesome open-source machine-learning libraries and tools to boost your productivity. @LukasMasuch @raethlein
Berlin
Joined June 2019
We build a tool to turn python functions into microservices with HTTP API and interactive UI, automatically generated based on Python type-hints. π« Live Demo: π GitHub:Β . This is a very early version. We are happy about feedback!
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RT @andfanilo: Welp, REST API + Web UI on the fly to interact with your favorite Python tools. *clap clap clap* ππ
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This is powered by @streamlit, @tiangolo's FastAPI, and @samuel_colvin's Pydantic. Pydantic models are not only super useful for HTTP APIs, but also perfectly suited to auto-generate interactive UIs for a large variety of tasks π€―. π Examples:
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RT @jrieke: For all @streamlit lovers: I made a list of the best Streamlit apps, ranked by Github stars π 88 projects & counting. If you buβ¦.
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Thanks for mentioning our best-of-web-python list :) We have also created a few other best-of lists for Python:. π€ Machine Learning: . π Python Overview: π More: @brianokken @mkennedy @pythonbytes.
github.com
π Discover best-of lists with awesome open-source projects on all kinds of topics. - best-of-lists/best-of
The latest Python Bytes is out! Special guest @ogimoore and hosts @brianokken & @mkennedy. #217: Use your cloud SSD for fast, cross-process caching. Check it out at
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RT @prototypefund: Ihr sucht die besten #OpenSource-Projekte zu #MachineLearning mit #Python oder vielleicht die besten #Jupyter-Projekte?β¦.
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RT @rasbt: "Best-of Machine Learning with Python:" Nice collection! And I am super flattered that MLxtend made theβ¦.
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RT @sktime_toolbox: We're very happy that sktime made it into the list of the "Best of ML in Python" for time series analysis together withβ¦.
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π best-of-python-dev. A ranked list of awesome Python developer tools and libraries. Curated, ranked by quality, and updated weekly. π With libraries related to @pytestdotorg @pypi @mypyproject @squidfunk's MkDocs @anacondainc @ThePyCQA's flake8
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π best-of-python. A general overview of awesome Python libraries and tools. Curated, ranked by quality, and updated weekly. π @ThePSF @PyData @PythonWeekly @PythonHub @realpython @pycoders @fullstackpython @getpy @PythonHub @Kaggle
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π best-of-jupyter. A ranked list of awesome Jupyter Notebook, Hub, and Lab projects. Curated, ranked by quality, and updated weekly. π With projects related to @ProjectJupyter @nteractio @IPythonDev @plotlygraphs @matplotlib @bokeh @bqplot
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π best-of-web-python. A ranked list of awesome Python libraries for web development. Curated, ranked by quality, and updated weekly. π With libraries related to @djangoproject @tiangolo's FastAPI @PalletsTeam's Flask @OpenApiSpec @GraphQL @SwaggerApi
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π best-of-ml-python. A ranked list of awesome machine learning Python libraries. Curated, ranked by quality, and updated weekly. π With libraries related to @TensorFlow @PyTorch @ApacheMXNet @ApacheSpark @scikit_learn @pandas_dev @numpy_team @spacy_io
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π Introducing Best-of Lists. With best-of you can create ranked lists of awesome open-source projects. The lists are fully automated via @GitHub Actions, so it will never get outdated. π You can find our initial best-of lists in the thread below π.
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π Top 5 Model Interpretability Libraries for Python. π₯ shap: π 33 β 11k π§βπ» @scottlundberg.π₯ lime: π 29 β8.3k π§βπ» @marcotcr.π₯ eli5: π 28 β 2.3k π§βπ» @lopuhin.π₯ pyLDAvis: π 28 β 1.4k π§βπ» @bmabey.π₯ InterpretML: π 27 β 3.4k π§βπ» @Microsoft. More info:
mltooling.medium.com
An overview of awesome machine learning model interpretability and explainability libraries
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RT @dask_dev: The Dask JupyterLab extension is now JupyterLab 3.0 compatible. This makes it much easier to install. conda create -n test pβ¦.
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RT @ProjectJupyter: JupyterLab 3.0 is released!. - visual debugger.- support for multiple display languages.- table of content for notebookβ¦.
blog.jupyter.org
The 3.0 release of JupyterLab brings many new features to users and substantial improvements to the extension distribution system.
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