Agents patterns
Are your agents falling short? Elevate your AI projects with advanced patterns: ReAct, planning, multi-agents, and more. Practical guide with code!
-->
The best real-time output audio devices management tool
Manage the output audio devices directly from the Ubuntu top bar with Output audio device manager. This application is fully integrated with the latest Ubuntu operating system. Manage your output audio devices quickly and easily. Download it now and take control of your devices!
Output audio device manager es una herramienta intuitiva diseñada para gestionar los dispositivos de salida de audio de una manera rápida y fácil. Se integra perfectamente con la barra de menú de Ubuntu, proporcionando control total al alcance de tu mano.
Clone it with https
git clone https://github.com/maximofn/output_audio_device.git
or with ssh
git clone git@github.com:maximofn/output_audio_device.git
Make sure you don't have any venv or conda environment installed
if [ -n "$VIRTUAL_ENV" ]; thendeactivatefiif command -v conda &>/dev/null; thenconda deactivatefi
Run this script
./add_to_startup.sh
After restarting your computer, Output audio device manager will start automatically.
If you like it consider giving the repository a star ⭐, but if you really like it consider buying me a coffee ☕.
Are your agents falling short? Elevate your AI projects with advanced patterns: ReAct, planning, multi-agents, and more. Practical guide with code!
🚀 Revolutionize your AI agents! 🧠 LangGraph is not just another library, it's the orchestration framework that gives you total control to build complex agents, with long-term memory and even human intervention! Say goodbye to basic chatbots, it's time to create true intelligence. Dive into this post and discover it!
Learn how to create virtual environments with uv, a package manager and environment for Python written in Rust, which makes it very fast. If you have had problems with the waiting times using conda, or want a faster and easier alternative to venv, enter and see how to use uv.
Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.
Dataset with jokes in English
Dataset with translations from English to Spanish
Dataset with Netflix movies and series