ML and AI for code static analysisa project by mvarlese The idea is to explore the technologies and the various components to realize some AI to predict pitfalls in source code which can potentially generate run-time misbehaviours. The potential area where this idea could have positive implications are: |
Artificial Intelligence playground for Data Scientistan invention by afesta Project here: https://confluence.suse.com/display/AAI/HackWeek19 Will keep working out of HackWeek as "best effort" personal project to make it evolve and keep learning. |
Phoebe - where AI meets Linuxa project by mvarlese Project DescriptionPhoeβe (/ˈfiːbi/) wants to add basic artificial intelligence capabilities to the Linux OS. |
FuseML - accelerate your Hack Week ML projectsa project by stefannica Project DescriptionSo you have an idea for a machine learning project for HackWeek. Have you thought about what tools you'll be using? Choosing the right set of machine learning tools and making them work together can be time consuming, not to mention the unavoidable learning curve. Perhaps you could use some help with that. |
Predicting Water conflicts in South America - AI/ML POCan invention by sfonseka Project DescriptionDashboard to aggregate publicly available open source date and transform, analyse, forecast factors affecting water conflicts. |
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. |
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 |
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. |