Focuses on running LLMs at the edge (on devices like Raspberry Pi). Why it works: Highlights the project’s edge-computing nature and AI capabilities.

preparing set of tools for video/pictures preprocessing based on ffmpeg, bash, gradio

combination of LLM-powered text generation with german structured legal document creation

Smart Sensor Hub: Pico W & BME680 Integration How to equip Pico W with lightweigt http, MQTT and TinyML ( tfl micro) example with Bosch BME680 sensor (I2C)

Polyglot Power: mBART & mT5 Translation Toolkit mBart50 multilanguage translation plus docker image and bulk pdf translation, also older English to german translator local/server using T5 model and…

Fully Automated K3S etcd High Availability Install

Fintuning GPT and LLM models

Solar Savvy: Mastering PV1800 Inverter Control how to make most of ESP32, YAML, http, mqtt, HomeAsistant, Domoticz , RS485 to control pv1800 photovoltaic inverter

useful pieces of code

Summarize, , NSP answer questions in dockerised environment

Docker as a base for all kinds of testing work avoiding contaminating own os

making OCR on the given pictures with use of tesseract

Pandas, DJANGO, Docker PostgresSQL

separate instances and track them from a given video file

word cloud

using Flair, Texthero and DistilBERT to get good results

Scraping linkedin webpage for jobs defined in start_url