Boxing

Encoding and decoding of base64 strings

More miscellaneous macros

EC-Tool adjusted for usage with framework embedded controller. It lets you control various devices, the i2c bus, and the power LED.

Allows you to add title bars to windows, and lets you set the color, font, size, and more.

A tiny qt6/qml application to display information about the running system, or copy diagnostics data, without the terminal.

A clone of xwinwrap for Hyprland. This lets you use any program as your desktop background.

Originally meant for csgo / cs2, but can work with any app, really.

csgo-vulkan-fix is a way to force apps to a fake resolution without them realizing it.

If you want to play CS2, you're locked to your native res. Other resolutions (especially not 16:9) are wonky.

With this plugin, you aren't anymore.

This plugin adds a scrolling layout to the likes of PaperWM and similar to Hyprland.

Allows you to add one or two additional borders to your windows. The borders added are static.

Example Config:

plugin 
    borders-plus-plus 
        add_borders = 1 # 0 - 9

        # you can add up to 9 borders
        col.border_1 = rgb(ffffff)
        col.border_2 = rgb(2222ff)

        # -1 means "default" as in the one defined in general:border_size
        border_size_1 = 10
        border_size_2 = -1

        # makes outer edges match rounding of the parent. Turn on / off to better understand. Default = on.
        natural_rounding = yes
    

This neat, useless plugin adds trails behind windows. It even lets you change the colors.

A complete rewrite of split-monitor-workspaces that attempts to fix the issues I experienced with it.

This plugin lets you have an overview over your desktop, like with similar functionality in Gnome, KDE, or wf.

Example config:

bind = SUPER, grave, hyprexpo:expo, toggle # can be: toggle, off/disable or on/enable

plugin 
    hyprexpo 
        columns = 3
        gap_size = 5
        bg_col = rgb(111111)
        workspace_method = center current # [center/first] [workspace] e.g. first 1 or center m+1

        enable_gesture = true # laptop touchpad
        gesture_fingers = 3  # 3 or 4
        gesture_distance = 300 # how far is the "max"
        gesture_positive = true # positive = swipe down. Negative = swipe up.
    

hdrop is a script that allows you to use an arbitrary program - usually a terminal - as a drop-down program that you can drop down from a screen edge with a simple hotkey.

This is the VM used by Pharo.

Paramiko is a python implementation of the SSHv2 protocol, providing both client and server functionality. While it leverages a Python C extension for low level cryptography (PyCrypto), Paramiko itself is a pure Python interface around SSH networking concepts.

Deploy your testing VM in a couple of seconds.

pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.

This package provides functions to calculate Gray Level Co-occurrence Matrix(GLCM), RGB-based Vegetative Index(RGB VI) and Normalized Difference Vegetation Index(NDVI) family image features. GLCM calculations are based on Haralick (1973) <doi:10.1109/TSMC.1973.4309314>.

Self-organizing maps (also known as SOM, see Kohonen (2001) <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction and clustering of continuous data. This package introduces interactive (html) graphics for easier analysis of SOM results. It also features an interactive interface, for push-button training and visualization of SOM on numeric, categorical or mixed data, as well as tools to evaluate the quality of SOM.

This package provides a recent method proposed by Yi and Chen (2023) <doi:10.1177/09622802221146308> is used to estimate the average treatment effects using noisy data containing both measurement error and spurious variables. The package AteMeVs contains a set of functions that provide a step-by-step estimation procedure, including the correction of the measurement error effects, variable selection for building the model used to estimate the propensity scores, and estimation of the average treatment effects. The functions contain multiple options for users to implement, including different ways to correct for the measurement error effects, distinct choices of penalty functions to do variable selection, and various regression models to characterize propensity scores.

In panel data settings, specifies set of candidate models, fits them to data from pre-treatment validation periods, and selects model as average over candidate models, weighting each by posterior probability of being most robust given its differential average prediction errors in pre-treatment validation periods. Subsequent estimation and inference of causal effect's bounds accounts for both model and sampling uncertainty, and calculates the robustness changepoint value at which bounds go from excluding to including 0. The package also includes a range of diagnostic plots, such as those illustrating models differential average prediction errors and the posterior distribution of which model is most robust.

The functions in this package inspect, read, edit and run files for APSIM "Next Generation" ('JSON') and APSIM "Classic" ('XML'). The files with an apsim extension correspond to APSIM Classic (7.x) - Windows only - and the ones with an apsimx extension correspond to APSIM "Next Generation". For more information about APSIM see (<https://www.apsim.info/>) and for APSIM next generation (<https://apsimnextgeneration.netlify.app/>).