Predictive test selection for SUSE Manageran idea by jordimassaguerpla I once had a bad dream. I started good, a sunny day. I had just fixed an issue and push it to my fork, in order to create a Pull Request. I was happy. It felt awesome to have found a fix so elegant. Two lines of code. |
Face recognition on nextcloud with TPUan idea by jordimassaguerpla Project DescriptionI have all my photos on a private NAS running nextcloud. |
Bird watcher with Raspberry Pia project by scuescu Project DescriptionFor this Hackweek, I want to focus on building a small application around Raspberry PI, motion-sensors and video capture. 
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Hack on project MONAI (Medical Open Network for Artificial Intelligence)an invention by jordimassaguerpla Project DescriptionMONAI is a set of open-source, freely available collaborative frameworks built for accelerating research and clinical collaboration in Medical Imaging. The goal is to accelerate the pace of innovation and clinical translation by building a robust software framework that benefits nearly every level of medical imaging, deep learning research, and deployment. 
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Learn about AI, ML, neural networks and see what's possible with SUSE Linuxa project by rsimai Everybody is talking about (and with) ChatGPT. I tried it and was impressed by how well the language model behaves and finally how real and humanly it appears, despite the obvious nonsense that it outputs. I was wondering how machine learning practically works and how to build a neural network. Project Description
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Package MONAI Machine Learning Models for Medical Applicationsan invention by jordimassaguerpla Project DescriptionMONAI Deploy aims to become the de-facto standard for developing packaging, testing, deploying, and running medical AI applications in clinical production. MONAI Deploy creates a set of intermediate steps where researchers and physicians can build confidence in the techniques and approaches used with AI — allowing for an iterative workflow. 
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COOTWbota project by ngetahun Project DescriptionAt SCC, we have a rotating task of COOTW (Commanding Office of the Week). This task involves responding to customer requests from jira and slack help channels, monitoring production systems and doing small chores. Usually, we have documentation to help the COOTW answer questions and quickly find fixes. Most of these are distributed across github, trello and SUSE Support documentation. The aim of this project is to explore the magic of LLMs and create a conversational bot. 
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