Learn Ruby and Ruby on Railsan invention by alarrosa The main goal is learning Ruby and enough Ruby on Rails to hack on the hackweek tool and fix (what seems to be) a simple issue like this . For that, I'll have a look at the following tutorials/documentation, and probably follow a couple of them: |
Let's play with RKE, Ansible and Libvirt!a project by ccamacho Project DescriptionThere are a bunch of K8s distros out there, why dont trying deploying RKE on a Libvirt host using Ansible? |
filesystem checking using symbolic executionan idea by jirislaby I already wrote a description and this shit ate it after I clicked create project (because "go home" overlapped). I won't write the long story second time, sorry. In short: symbolic execution on btrfs and input of death, that is. |
Learn more about Docker and Goan idea by mitiao Learn Docker and Go by reading book of the source code analysis of docker. |
Building Image with KIWIan idea by Jeffreycheung Well, we know that there are many tools in SUSE to build a image and one of them is KIWI. I would like to find time to study and build the image by KIWI during this hackweek. |
Play CAP on AWSa project by fanyadan Have a play with SUSE CAP on AWS during this hackweek. |
Enhance SUSE Manager + Rancher + K3s/RKE Automationa project by nbornstein Project DescriptionAutomation of Rancher, K3s, RKE, RKE2 through Salt and SUSE Manager |
Add Graphics Mode to WozManiaan invention by e_bischoff Project descriptionWozMania is an Apple ][ emulator on ARM processors that I wrote during my spare time. It works fine, but for the moment it's text-mode only. |
Recipe for packaging Electron appsan idea by bear454 Electron apps are popping up everywhere, from the Atom editor to the Rocket.Chat client to Kap, a cross-platform open-source screen recorder. Electron apps are based on web technologies, and built from the ground up to be platform-agnostic. The electron framework is open source, and most of the apps are as well, but they are typically distributed (for Linux) as either a tarball or via npm. |
Deep learning/ AI topics (Continuation from HW 16)a project by arun_kant Planning to do some deep learning course sessions e.g. fastai , google ML crash course etc. Also try to understand common tools (tensorflow, jupyter notebook, numpy, pandas, pytorch) and practices e.g. Convoluation neutral nets, SGD used to solve learning problems. Aim is to get ready for kaggle competition (https://www.kaggle.com/competitions) eventually to test out learning and develop intuition around categories of learning problems. |