afesta
Turin
ML and AI for code static analysis
a 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:
vscode: allow it to take advantage of podman systemd containers for execution and debugging
an idea by rtorrero
This project aims to be able to compile & execute wicked from vscode by generating the RPM files and installing them onto a dynamically created container with systemd support, ultimately allowing to debug from the editor in a matter of seconds. Current situation
Differentiate Microsoft virtualization types (WSL1/WSL2/Azure/Hyper-V) in SUSEConnect
a project by wstephenson
People are interested in Linux on Windows via WSL, especially given the new fully virtualized Linux kernel in WSL 2. It's interesting to know whether registered SUSE installations might be running in WSL as opposed to other Microsoft virtualization platforms, but the current approach taken by SUSEConnect (the client for SUSE Customer Center) does not permit this.
By inspecting the contents of /proc/, it is possible to tell these platforms apart. This project aims to enhance SUSEConnect to do so.
Enable opensuse on Jetson Nano and learn how DL frameworks work on it
an idea by lyan
Current Jetson Nano image is based on Ubuntu distro, This project will try to deploy a opensuse version. Furthermore, I will take a closer look on deep learning framework, and learn how they use hardware accelerator. First, boot up Jeston nano with Ubuntu, and deploy Tensorflow(Keras), Pytorch(Caffee2), MXNet, the most popular DL framework today, on it. Understand how those frameworks take advantage of hardware accelerator.
Machine Learning on bugzilla
a project by mslacken
Goals * get used to some of this ugly buzzword tools as they are used in a broad audience
Artificial Intelligence playground for Data Scientist
an 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.
Learn Machine Learning
an idea by Jeffreycheung
Today, people talk about AI and machine learning, I would like to study a bit about this. I have found some blogs and online tutorials which I will take time to study during hackweek.
Packaging libnvidia-containers and nvidia-container-runtime-hook
an invention by jordimassaguerpla
This is a follow up to https://hackweek.suse.com/projects/architecting-a-machine-learning-project-with-suse-caasp. In the last hackweek I learned that in order to run machine learning workflows on top of SUSE CaaSP, the missing piece is to have libnvidia-containers and nvidia-containers-runtime-hook packaged.
FuseML - accelerate your Hack Week ML projects
a project by stefannica
Project Description
So 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.
Looking for projects around:
artificial-intelligenceActivity