Jiri Daněk
jiridanek
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Notebook images for ODH
ZeroMQ core engine in C++, implements ZMTP/3.1
Various custom Workbenches and Runtimes for Open Data Hub and OpenShift Data Science
To store additional RHOAI images which are not being refernced in the manifests
Central repository for managing Konflux resource files. This streamlines maintenance by consolidating configurations and leveraging GitHub Actions for automated syncing.
Repositories
163Notebook images for ODH
ZeroMQ core engine in C++, implements ZMTP/3.1
No description provided.
Various custom Workbenches and Runtimes for Open Data Hub and OpenShift Data Science
To store additional RHOAI images which are not being refernced in the manifests
Central repository for managing Konflux resource files. This streamlines maintenance by consolidating configurations and leveraging GitHub Actions for automated syncing.
This repository defines application base images for ODH Platform Core Components.
rhods-disconnected-install-helper
odh qe tier tests
Repository for official documentation of ODH Core components
No description provided.
User-created mirror of past releases
A python wrapper for https://github.com/openshift/openshift-restclient-python. With support for RedHat Container Virtualization.
A Dart markdown library
Run Cypress tests using Playwright and Playwright tests using Cypress
No description provided.
Mirror of Apache Qpid Dispatch
Elyra extends JupyterLab with an AI centric approach.
Lazily build Docker images to content-identifying-hash based tags.
DPTP Tooling
A command line tool for playing with Linux 5.13's Landlock feature
A simple sample for using multi-arch pipelines on the Red Hat Konflux clusters
No description provided.
No description provided.
Dashboard for ODH
JSONlab: a toolbox to encode/decode JSON files in MATLAB/Octave
An intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the developer's life while enabling access to high-performance compute resources, either in the cloud or on-prem.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Machine Learning Toolkit for Kubernetes
My implementation of examples from the book at https://github.com/munificent/craftinginterpreters