beosro's repositories
BlackCatMuzzle-rEFInd
Dark theme for rEFInd with a black cat muzzle on a background
YoloV5-segmentation-ncnn-RPi4
YoloV5 segmentation for a bare Raspberry Pi 4
alpine-raspberry-pi
Headless Alpine Linux image for RPI 2, 3 and 4. Flash and run.
bioformats2raw
Bio-Formats image file format to raw format converter
BSB-LAN
LAN interface for Boiler-System-Bus (BSB) and Local Process Bus (LPB) and Punkt-zu-Punkt Schnittstelle (PPS) used by Elco Thision, Brötje and similar heating systems
BSB-LPB-LAN_EN
Manual for the BSB-LAN Hard- & Software
budgie-desktop
Budgie Desktop is a familiar, modern desktop environment.
Compositor
Compositor is a WYSIWYG LaTeX for Mac
gayolGate
Information about my GitHub profile
image-tools
Tools for creating image-based datasets for machine learning
linux-boot-efi
rEFInd theme, systemd-boot, mkinitcpio, dracut, plymouth, sddm, wallpapers, color-schemes, nvidia, amdgpu
linux-downloader
Bash script for autodownloading of different Linux distros and testing them in VMs
lunar-lander-deep-rl
Solving OpenAI Gym's Lunar Lander environment using Deep Reinforcement Learning
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
MONAI
AI Toolkit for Healthcare Imaging
ns8-nextcloud
Nextcloud module for NS8
ntfpy
Python API Wrapper for ntfy.sh
pma_python
Python wrapper library for PMA.start, a universal viewier for whole slide imaging and microscopy
popsicle
Multiple USB File Flasher
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
PyTorch-Raspberry-Pi-64-OS
PyTorch installation wheels for Raspberry Pi 64 OS
pytorch-template
PyTorch deep learning projects made easy.
qupath-scripts
This repository contains Scripts we found useful when using QuPath
raw2ometiff
Raw format to OME-TIFF converter
refind-rainy-ambience
Minimal theme with a rainy touch for the rEFInd boot manager (https://www.rodsbooks.com/refind/)
simulation-assisted-ML
Implementation for the paper 'Simulation-assisted machine learning for operational digital twins'
tessdata_best
Best (most accurate) trained LSTM models.