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A repository showing example analysis of time series data.
Examples for building and running LLM services and applications locally with Podman
A question-answering system that uses embeddings and a language model to find the most likely answer to a question, while also providing links to sources that support the answer.
Improve ROSA customer experience (and customer retention) by leveraging foundation models to do “gpt-chat” style search of Red Hat customer documentation assets.
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…
🦜🔗 Build context-aware reasoning applications
Five Fifths Voter is a web application tool designed to enable and empower Black people and others to exercise their right to vote by ensuring their voice is heard
An s2i container image for JupyterHub with custom notebooks and dependencies
python tools to assist with standardized data ingestion workflows
Elyra extends JupyterLab with an AI centric approach.
Typed interactions with the GitHub API v3
Model Server for Kepler
This repository is the central location for the demos the ET data science team is developing within the OS-Climate project. This demo shows how to use the tools provided by Open Data Hub (ODH) runn…
Web application and supporting CLI tools for analyzing OpenShift Dedicated cluster alert data.
Operate first Jupyterhub application provides a Jupyter notebook environment for python development and running machine learning workloads. In this repository, we analyze the data generated from th…
Bypass Paywalls web browser extension for Chrome and Firefox.
I'm Kebechet bot, goddess of freshness - I will keep your source code fresh and up-to-date
AIDevSecOps with Thoth and Elyra on ODH/Openshift running on Operate First
Thoth-Station ArgoCD Applications
Encoding schemes for nominal categorical variables in an unsupervised setting.
A python wrapper for the prometheus http api
Developing AI tools for developers by leveraging the data made openly available by OpenShift and Kubernetes CI platforms.
this is a template to use for new data science projects in the aiops group
Scripts for paper "Encoding high-cardinality string categorical variables"