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1000 results for “smach”

  1. So far I like the latest version of Thunderbird - enough to have spent time re-creating my filters on 5 different accounts from Postbox since POSTBOX DOESN'T LET YOU EXPORT FILTER RULES. Argh.
    The Send Later add-on doesn't seem to work with the new version, though, which is a bummer. Am hoping it or something like it will at some point.

    Oh, and I sure miss being able to search for "Thunderbird" and "Send Later" here without needing hashtags . . .
    #Thunderbird #Thunderbird115 #TB115 #SendLater

  2. I got Python working to run LangChain document loaders in VSCode on both my Mac and Windows machines - plus in RStudio with {reticulate}! 🎉 I feel like I ought to go buy a lottery ticket 😀

    #python #LangChain #reticulate #RStudio

  3. I got Python working to run LangChain document loaders in VSCode on both my Mac and Windows machines - plus in RStudio with {reticulate}! 🎉 I feel like I ought to go buy a lottery ticket 😀

    #python #LangChain #reticulate #RStudio

  4. I got Python working to run LangChain document loaders in VSCode on both my Mac and Windows machines - plus in RStudio with {reticulate}! 🎉 I feel like I ought to go buy a lottery ticket 😀

    #python #LangChain #reticulate #RStudio

  5. I got Python working to run LangChain document loaders in VSCode on both my Mac and Windows machines - plus in RStudio with {reticulate}! 🎉 I feel like I ought to go buy a lottery ticket 😀

    #python #LangChain #reticulate #RStudio

  6. The {statcheck} 📦 is “a ‘spellchecker’ for statistics. It checks whether your p-values match their accompanying test statistic and degrees of freedom.”

    statcheck searches text for null-hypothesis significance tests in APA style (e.g., t(28) = 2.2, p < .05), recalculates each p-value, and flags errors if reported and computed values don’t match.
    By @MicheleNuijten
    Repo: github.com/MicheleNuijten/stat
    Video: youtu.be/XuFyqXw5ho0
    @rstats

  7. “QBs in NFL history with 300+ passing yards, 2+ passing TDs and 70+ rushing yards in a playoff game:
    Daniel Jones”

    - SNY TV

    1st playoff game since 2016.

  8. "Yes we are working on Shinylive for R" - Winston Chang tells just now
    That will mean being able to run Shiny apps without needing a Shiny or R server
    @rstats

  9. The {box} 📦 helps you write "reusable, composable and modular R code."
    "Code doesn’t have to be wrapped into an R package to be reusable. With ‘box’, regular R files form reusable R modules that can be used elsewhere. . . . without requiring the user to wrap reusable code into packages."
    Just put #' @export on your functions.
    By @klmr klmr.me/box/
    @rstats

  10. When creating a Shiny app, stop and think: What is Shiny-specific (like inputting data) and what is not Shiny-specific (like generating a dataviz based on specific inputs). If it's not Shiny-specific, put it in a function @tanho tells

  11. GREAT talk by @tanho on debugging Shiny apps at . Slides are here
    github.com/tanho63/shinyconf_d
    But it would definitely be worth watching the talk video when it's available if you missed it
    @rstats
    He also shared this great comic by @b0rk wizardzines.com/comics/better-

  12. I *really* want to try out the {bslib} 📦's new cards feature -- especially in a Quarto doc (without needing a Shiny server). On the to-do list!
    rstudio.github.io/bslib/articl

  13. OpenAI DevDay breakout sessions have been posted to YouTube
    youtube.com/playlist?list=PLOX
    Also 4 short “AI Frontiers” sessions with “people who are pushing the boundaries of what's possible with AI” in areas like medicine and climate research
    youtube.com/playlist?list=PLOX

    #GenAI #GenerativeAI #OpenAI #OpenAIDevDay

  14. New open-source speech-to-text model Moonshine “returns results faster and more efficiently than the current state of the art, OpenAI’s Whisper, while matching or exceeding its accuracy” one of its creators says. “Key improvements are an architecture that offers an overall 1.7x speed boost compared to Whisper, and a flexibly-sized input window.”

    Blog post by Pete Warden: petewarden.com/2024/10/21/intr

    GitHub: github.com/usefulsensors/moons
    Paper: arxiv.org/abs/2410.15608

    #GenAI #speech2text

  15. New open-source speech-to-text model Moonshine “returns results faster and more efficiently than the current state of the art, OpenAI’s Whisper, while matching or exceeding its accuracy” one of its creators says. “Key improvements are an architecture that offers an overall 1.7x speed boost compared to Whisper, and a flexibly-sized input window.”

    Blog post by Pete Warden: petewarden.com/2024/10/21/intr

    GitHub: github.com/usefulsensors/moons
    Paper: arxiv.org/abs/2410.15608

    #GenAI #speech2text

  16. New open-source speech-to-text model Moonshine “returns results faster and more efficiently than the current state of the art, OpenAI’s Whisper, while matching or exceeding its accuracy” one of its creators says. “Key improvements are an architecture that offers an overall 1.7x speed boost compared to Whisper, and a flexibly-sized input window.”

    Blog post by Pete Warden: petewarden.com/2024/10/21/intr

    GitHub: github.com/usefulsensors/moons
    Paper: arxiv.org/abs/2410.15608

    #GenAI #speech2text

  17. New open-source speech-to-text model Moonshine “returns results faster and more efficiently than the current state of the art, OpenAI’s Whisper, while matching or exceeding its accuracy” one of its creators says. “Key improvements are an architecture that offers an overall 1.7x speed boost compared to Whisper, and a flexibly-sized input window.”

    Blog post by Pete Warden: petewarden.com/2024/10/21/intr

    GitHub: github.com/usefulsensors/moons
    Paper: arxiv.org/abs/2410.15608

    #GenAI #speech2text

  18. I typically use ellmer when coding with LLMs in R, but it's nice to see what else is out there. You can learn about the {axolotr} #RStats 📦 in this useR! talk. By Dr Matthew Hirschey, Duke Univ School of Medicine:
    Video: youtu.be/QY2fU1uEvNA?si=L2jFDN
    📦 website: github.com/heurekalabsco/axolo
    #GenAI #user2025

  19. I typically use ellmer when coding with LLMs in R, but it's nice to see what else is out there. You can learn about the {axolotr} #RStats 📦 in this useR! talk. By Dr Matthew Hirschey, Duke Univ School of Medicine:
    Video: youtu.be/QY2fU1uEvNA?si=L2jFDN
    📦 website: github.com/heurekalabsco/axolo
    #GenAI #user2025

  20. I typically use ellmer when coding with LLMs in R, but it's nice to see what else is out there. You can learn about the {axolotr} #RStats 📦 in this useR! talk. By Dr Matthew Hirschey, Duke Univ School of Medicine:
    Video: youtu.be/QY2fU1uEvNA?si=L2jFDN
    📦 website: github.com/heurekalabsco/axolo
    #GenAI #user2025

  21. I typically use ellmer when coding with LLMs in R, but it's nice to see what else is out there. You can learn about the {axolotr} #RStats 📦 in this useR! talk. By Dr Matthew Hirschey, Duke Univ School of Medicine:
    Video: youtu.be/QY2fU1uEvNA?si=L2jFDN
    📦 website: github.com/heurekalabsco/axolo
    #GenAI #user2025

  22. {vegabrite} is an experimental but “mostly complete” 📦 for creating Vega-Lite data visualizations from R. Includes charts, maps, interactivity options and more. By Alicia Schep.
    vegawidget.github.io/vegabrite/
    @rstats