AirLLM is an open-source library that allows large language models to run on consumer hardware using layer-wise inference. By loading layers sequentially, it enables 70B parameter models to operate on as little as 4GB of VRAM. Optimized for research and batch processing, it features block-wise quantization for up to 3x faster performance on Linux and Apple Silicon.
Aircraft radar display with retro styling. Visualises real-time aircraft positions and metadata from a local tar1090 server, with a retro interface.
>/u/Quantum-Stability writes: I got this working with just a free public api! Here is the base_url that you can use for TAR1090_URL in the config.ini file. No other set up is needed <https://opendata.adsb.fi/api/v2/lat/{your_latitude}/lon/{your_longitude}/dist/{your_distance}>
>/u/Quantum-Stability writes: I got this working with just a free public api! Here is the base_url that you can use for TAR1090_URL in the config.ini file. No other set up is needed <https://opendata.adsb.fi/api/v2/lat/{your_latitude}/lon/{your_longitude}/dist/{your_distance}>
A Raspberry Pi project that displays the city and country where it is currently 5:00 p.m., updating every 15 minutes. It uses accurate timezone data and is a fun, lightweight build with potential for educational and practical applications.
Learn how to create a real-time machine learning audio noise suppression system using Python, TensorFlow Lite, and the Raspberry Pi Pico.
