Red Hat Emerging Technologies's repositories
foundation-models-for-documentation
Improve ROSA customer experience (and customer retention) by leveraging foundation models to do “gpt-chat” style search of Red Hat customer documentation assets.
homomorphic-learning
Methodology study for multi-party learning (aka Homomorphic Learning)
AI-for-edge-microshift-demo
This repository contains the code developed for the talk "AI at the Edge with MicroShift" developed by Miguel Angel Ajo and Ricardo Noriega.
wasm-demo-app
WebAssembly Demo App
edge-ocp-observability
home for future validated pattern
whisper-self-hosted-llm
Repository to demonstrate how to build and host the Whisper model locally
jumpstarter
Jumpstarter agent and cmdline tools
time-to-merge-tool
The time to merge model predicts the time that it will take to merge a new Pull Request on a Git Repository. The TTM model is a classification model which classifies the time taken to merge a PR falls into one of a few predefined time ranges.
mlflow-openshift
Deploy and setup MLFlow on OpenShift
fingerprint
Use AI to detect workloads on your system
firmware-on-the-edge
Examples and best practices for peripheral firmware on the Edge
kepler-carbon-intensity-integration
Integrating Kepler and OS-Climate
zero-trust-catalog
Catalog of zero trust controls and component models for Red Hat products
customer-growth-model
The repo enables accurate customer revenue forecasting using ARIMA and other time series methods. It provides practical examples, data preprocessing, evaluation, and optimization. It also identifies potential customers through market analysis and predictive modeling. Empowering businesses for data-driven growth.
datascience-wg
This repository will be used to track all the work that comes out of the Data Science Working Group
kepler-rhel-demo
Demonstrating KEPLER on RHEL
microshift-config
Device configurations to deploy Microshift on RHEL for Edge
optimal-stopping-point-tool
This tool would predict an Optimal Stopping point for long running CI tests
milvus
A cloud-native vector database, storage for next generation AI applications
model-transparency
Supply chain security for ML