Posts

  • Jun 15, 2025

    MobyDroid

    Android Device Manager with a Graphic User Interface (GUI) – Manage Android on Linux, Windows and MacOS.

    MobyDroid is a simple and cross-platform Android Devices Manager.
    It runs on any operating system with Java support (Mac OS X, Windows, Linux, BSD, Solaris…).

    THIS IS JUST A BETA RELEASE !

    Tags: #java • mobydroid • adb

  • Jun 15, 2025

    action-send-mail

    :gear: A GitHub Action to send an email to multiple recipients

    An action that simply sends a mail to multiple recipients.

    Some features:

    • plain text body
    • HTML body
    • multipart body (plain text + HTML)
    • Markdown to HTML converting (use html_body, not body)
    • file attachments (supports globbing)

    Tags: #javascript • github-actions • action

  • Jun 14, 2025

    tk

    Tk interface module using tcltklib

    Tk interface module using tcltklib

    Tags: #ruby • tk

  • Jun 14, 2025

    epub-press-clients

    📦 Clients for building books with EpubPress.

    Easy to use clients for building ebooks with EpubPress.

    Backend code can be found in haroldtreen/epub-press.

    Follow us on Twitter.

    Tags: #javascript • ebook • article

  • Jun 14, 2025

    ekylibre

    Open source Farm management Information System (FMIS) - Connecting farms to the world

    Ekylibre is a simple enterprise management web application for farmers and small enterprises. Ekylibre is written with Ruby on Rails framework and use PostgreSQL/PostGIS stack. More details can be found on the official website http://ekylibre.org.

    Tags: #ruby • agriculture • erp

  • Jun 13, 2025

    BlueHound

    BlueHound - pinpoint the security issues that actually matter

    1. Full Automation: The entire cycle of collection, analysis and reporting is basically done with a click of a button.
    2. Community Driven: BlueHound configuration can be exported and imported by others. Sharing of knowledge, best practices, collection methodologies and more, built-into the tool itself.
    3. Easy Reporting: Creating customized report can be done intuitively, without the need to write any code.
    4. Easy Customization: Any custom collection method can be added into BlueHound. Users can even add their own custom parameters or even custom icons for their graphs.

    Tags: #typescript

  • Jun 13, 2025

    gitpunch

    Watch for releases on GitHub → gitpunch.com

    • Realtime or daily updates
    • Ignore minor, patch or pre-releases (semver)
    • Optionally watch starred repos
    • Completely open-source

    Tags: #javascript • ssr • aws

  • Jun 13, 2025

    t-io

    T-io is a network programming framework developed based on Java AIO. From the collected cases, t-io is widely used for IoT, IM, and customer service, making it a top-notch network programming framework

    T-io is a network programming framework developed based on Java AIO. From the collected cases, t-io is widely used for IoT, IM, and customer service, making it a top-notch network programming framework

    • Quick Start: Show me the code and document
    • User Case: Look at who is using t-io and is willing to let everyone know that they are using t-io
    • Submit Case: This will increase the exposure of your product and let more people know about it
    • Delete Case: There was a moment when you didn’t want your case to be known to more people

    Tags: #java • t-io • socket

  • Jun 12, 2025

    ttach

    Image Test Time Augmentation with PyTorch!

    Image Test Time Augmentation with PyTorch!

    Similar to what Data Augmentation is doing to the training set, the purpose of Test Time Augmentation is to perform random modifications to the test images. Thus, instead of showing the regular, “clean” images, only once to the trained model, we will show it the augmented images several times. We will then average the predictions of each corresponding image and take that as our final guess [1].

               Input
             |           # input batch of images 
        / / /|\ \ \      # apply augmentations (flips, rotation, scale, etc.)
       | | | | | | |     # pass augmented batches through model
       | | | | | | |     # reverse transformations for each batch of masks/labels
        \ \ \ / / /      # merge predictions (mean, max, gmean, etc.)
             |           # output batch of masks/labels
           Output

    Tags: #python • augmentation • deep-learning

  • Jun 12, 2025

    ocra

    One-Click Ruby Application Builder

    home :: https://github.com/larsch/ocra/

    issues :: http://github.com/larsch/ocra/issues

    forum :: http://groups.google.com/group/ruby-ocra

    Tags: #ruby

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