We build a tool to turn python functions into microservices with HTTP API and interactive UI, automatically generated based on Python type-hints.
💫 Live Demo: opyrator-playground.mltoolin…
🔗 GitHub: github.com/ml-tooling/opyrat…
This is a very early version. We are happy about feedback!
We build a tool to turn python functions into microservices with HTTP API and interactive UI, automatically generated based on Python type-hints.
💫 Live Demo: opyrator-playground.mltoolin…
🔗 GitHub: github.com/ml-tooling/opyrat…
This is a very early version. We are happy about feedback!
This is powered by @streamlit, @tiangolo's FastAPI, and @samuelcolvin'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 🤯
👉 Examples: github.com/ml-tooling/opyrat…
Wow, thanks for all the interest and feedback!
Since the alpha release last week: 1.8k Stars, 12k visitors, lots of feedback, and GitHub Trends for a few days 🥳
Next step: making it super stable and useful 🚀
We build a tool to turn python functions into microservices with HTTP API and interactive UI, automatically generated based on Python type-hints.
💫 Live Demo: opyrator-playground.mltoolin…
🔗 GitHub: github.com/ml-tooling/opyrat…
This is a very early version. We are happy about feedback!
For all @streamlit lovers: I made a list of the best Streamlit apps, ranked by Github stars 🏆 88 projects & counting. If you built sth awesome and want to add it, plz reach out!
🎈👉 github.com/jrieke/best-of-st…
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 pythonbytes.fm/217
Ihr sucht die besten #OpenSource-Projekte zu #MachineLearning mit #Python oder vielleicht die besten #Jupyter-Projekte? Dann gefallen euch bestimmt diese Best-of-Listen von @mltooling, einem der Projekte aus unserer aktuellen Förderrunde:
🎉 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 The lists are fully automated via @GitHub Actions, so it will never get outdated.
🔗 github.com/best-of-lists/bes…
You can find our initial best-of lists in the thread below 👇
"Best-of Machine Learning with Python:" github.com/ml-tooling/best-o…. Nice collection! And I am super flattered that MLxtend made the list! :) (Also, this " ▶" summary-detail thingy is super cool -- I had no idea it was possible in GitHub markdown!)
🎉 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.
🔗 github.com/best-of-lists/bes…
You can find our initial best-of lists in the thread below 👇
We will tweet about awesome machine-learning libraries and tools with content on:
📈 Weekly trending projects
🏆 Top-x projects of similar domains
🐣 Awesome newcomer projects
🔎 Detailed introductions of libraries
📰 Exciting news on machine-learning
📬 mltooling.substack.com/subsc…
The Dask JupyterLab extension is now JupyterLab 3.0 compatible.
This makes it much easier to install
conda create -n test python=3.8
conda activate test
pip install jupyterlab
pip install --pre dask-labextension
Thanks @IanRRose !
JupyterLab 3.0 is released!
- visual debugger
- support for multiple display languages
- table of content for notebooks
- improved extension system.
Check out the announcement blog post.
blog.jupyter.org/jupyterlab-…