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.

I want to make ruby-lint usable.

I want to create devel project for cryptocurrencies/mining tools/blockchain related stuff, fill it with packages and submit at least some of them to Tumbleweed.

Description

I'm implementing a split-horizon DNS for my home Kubernetes cluster to be able to access my internal (and external) services over the local network through public domains. I managed to make a PoC with the k8s_gateway plugin for CoreDNS. However, I soon found out it responds with IPs for all Gateways assigned to HTTPRoutes, publishing public IPs as well as the internal Loadbalancer ones.

Project Description

Create a console application for a crossword puzzle generator that can be fed with a custom list of word+explanation pairs. It may be used by people to quickly familiarize with a specific topic (e.g. a knowledge area, new hires to the company ...) to at least understand the terminology and the abbreviations that are used. Or to just have some distraction and fun :-)

Description

For "show and tell" situations it's helpful to have a portable (set of) images available which contains SUMA Server as well as clients. The intend is to create something that can be used on a standard laptop, setup and updated before adding it to the machine, and easily be 'reset'.

Customers may face problems with their systems we weren't aware of, if we focus on testing single components. We simply can't copy each and every customer setup, but we want to have test results that are more relevant.

Some people prefer LaTeX for creating documents and presentations. The templates provided by Marketing don't include one for Beamer