streamlit

@streamlit

The fastest way to build custom ML tools.

Vrijeme pridruživanja: lipanj 2018.

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  1. Prikvačeni tweet
    1. lis 2019.

    We launched today! 🎈🥳 🚀Streamlit is the fastest way to build custom tools. $ pip install streamlit $ streamlit hello See more:

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  2. prije 9 sati

    If you’d like to read more about the feature, here is a great tutorial by : 👍 Current format is .webm which will work for YouTube or sending directly to others. If you want to upload to Twitter try:

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  3. prije 9 sati

    🚨 New experimental feature - the ability to record screencasts directly in Streamlit! Record and share explanations about your models, analyses, & data. Click ☰ then "Record a screencast". Upgrade to 0.55.0 to try it. $ pip install --upgrade streamlit

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  4. proslijedio/la je Tweet
    prije 16 sati

    We're very pleased to announce that we are once again sponsoring Data Science Oxford. Join us on 26th February for an evening discussing "Building Data Apps Fast – An introduction to Streamlit". Register your place now:

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  5. proslijedio/la je Tweet
    3. velj

    Back again with and vaderSentiment analysis. Finished up on the previous app. Now an interface is presented where one can search a twitter topic and get a compound sentiment score and individual scores for a sample 10 tweets

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  6. proslijedio/la je Tweet
    3. velj

    I combined the content from my previous "Intermediate Streamlit" article plus some new notes I'd taken into my own "Streamlitopedia". If you're using , maybe there's something helpful in here for you.

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  7. proslijedio/la je Tweet
    1. velj

    Building A Password Strength Classifier ML App with Streamlit Python via

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  8. proslijedio/la je Tweet
    31. sij

    Streamlitでサクッと仕上げたがナイスだなー。コードも40行!

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  9. proslijedio/la je Tweet
    31. sij

    New post: how to build a full stack ML app in 12 hours with tools like and .

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  10. 30. sij

    📺 Part 4 is the finale of presentation at in December. In this video he takes users through a use-case! Check out the video below:

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  11. 30. sij

    🚨 Streamlit Release: 0.54.0 ⌨️ Support for password fields! 🗣️ Fixed cross-talk in sidebar between multiple users. $ pip install --upgrade streamlit See more:

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  12. proslijedio/la je Tweet
    29. sij

    Data Science for marketing with a huge dataset built with Streamlit

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  13. proslijedio/la je Tweet
    28. sij

    streamlitとplotlyを使って、イベントデータ確認のためのWebアプリケーションを作成途中。 ①左上:competitionの選択 ②右上:match、(1H/2H、library)の選択 ③左下:シュートポイントの可視化、progressの表示 ④右下:パスラインも可視化(コンテ・イタリアのそれ)

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  14. proslijedio/la je Tweet
    28. sij

    At it again with the library. This time using the amazing tool to bring sentiment analysis to the web. Using the VADER library for sentiment analysis

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  15. 28. sij

    📺 Part 3 of presentation at in December walks users through the steps of building a data app. See below for the full video!

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  16. proslijedio/la je Tweet
    27. sij

    What would a more applied approach to AI look like? I think I have the answer. So I'm leaving Google and Kaggle to build a business around it. Check it out at Want help getting more than predictions, so you can optimize decisions? Let's talk. I can help

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  17. proslijedio/la je Tweet
    27. sij

    Interested in Machine Learning with Python, Streamlit, Static Typing, Sentiment Analysis using NLP? Join on Jan 31 . Sign up here:

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  18. proslijedio/la je Tweet
    26. sij

    if anyone has a time series you can play with changepoint analysis here. just get it in a index-omitted newline-delimited file git clone cd changepoint-dashboard pipenv shell --three pipenv install streamlit run

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  19. 22. sij

    📺 Part 2 of presentation at in December takes you through installing Streamlit and playing with `streamlit hello`. Check it out!

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  20. 21. sij

    🥳 just released its top 50 start-ups to watch in 2020 with Streamlit on the list. The full list is below 👇

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  21. 21. sij

    📈This Saturday [01/25/20] Kevin Northover Ph.D. will be giving a presentation on "Fast Data Visualization using Streamlit" at the New Jersey Data Science Meetup! If you'll be in the area you can find more information below 👇

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