IBM / MLOps
Visit the MLOps Guide:
☆12Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for MLOps
- The AI Accelerator is a template project for setting up Red Hat OpenShift AI using GitOps☆28Updated this week
- Source for "Streamlining insurance claims with OpenShift AI" Lab☆33Updated 3 months ago
- This repository contains examples which you can use to try out watsonx Code Assistant for Red Hat Ansible Lightspeed☆14Updated this week
- AI-on-OpenShift website source code☆72Updated last month
- A lab/workshop for Red Hat OpenShift Data Science using simple fraud detection as an example workload☆21Updated 4 months ago
- ☆22Updated last week
- workshop which demonstrates how to use nlp to categorize bus repairs☆10Updated 4 months ago
- ☆11Updated last month
- ☆23Updated 5 months ago
- ☆22Updated last month
- Resources, demos, recipes,... to work with LLMs on OpenShift with OpenShift AI or Open Data Hub.☆95Updated this week
- Various custom Workbenches and Runtimes for Open Data Hub and OpenShift Data Science☆39Updated 4 months ago
- Source for the "Parasol Insurance" Lab☆40Updated last week
- Materials for a workshop on OpenShift Service Mesh☆26Updated 2 years ago
- rhods-disconnected-install-helper☆10Updated this week
- Automate synthetic workloads in OpenShift Container Storage with ansible, fio and pgbench tools☆11Updated 3 years ago
- MANUfacturing Edge Lightweight Accelerator☆40Updated last year
- ☆52Updated 7 months ago
- This repository contains the code developed for the talk "AI at the Edge with MicroShift" developed by Miguel Angel Ajo and Ricardo Norie…☆19Updated last year
- Dashboard for ODH☆30Updated this week
- ☆12Updated last week
- Improve ROSA customer experience (and customer retention) by leveraging foundation models to do “gpt-chat” style search of Red Hat custo…☆27Updated 7 months ago
- Getting Started with OpenShift for Developers Workshop☆42Updated 3 months ago
- ☆11Updated 3 years ago
- ☆23Updated 3 months ago
- ☆17Updated 3 weeks ago
- This is material for a tutorial that @sophwats and @willb developed about machine learning workflows and about running them on OpenShift☆39Updated last year
- ☆12Updated this week
- An intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the develo…☆22Updated this week
- Red Hat Tech Exchange 2019 - Multi-Cloud OpenShift Lab☆13Updated 5 years ago