redhat-et/transmission

Stars
11
Rank 1,694,829 (Top 34 %)
Language
Python
License
Apache License 2.0
Created over 3 years ago
Updated about 1 year ago

redhat-et/transmission

redhat-et

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

bpfd

a prototype networking bpf loader

copilot-ops

copilot-ops is a CLI tool that boosts up any DevOps repo to a ninja level of Artificially Intelligent Ops Repo

Jupyter Notebook

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.

Jupyter Notebook

microshift-demos

homomorphic-learning

Methodology study for multi-party learning (aka Homomorphic Learning)

Jupyter Notebook

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

whisper-self-hosted-llm

Repository to demonstrate how to build and host the Whisper model locally

apex

a prototype of connectivity as a service

ilab-on-ocp

edge-ocp-observability

home for future validated pattern

whisper-edge-microshift

Whisper on the Edge with MicroShift demo

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.

Jupyter Notebook

sigstore-demo

jumpstarter

Please go to the new repository

microshift-documentation

Documentation source for microshift.io

patu

Lightweight CNI for Container Orchestrators managing resource constrained devices.

crossplane-quay

magic-mirror

api-docs-generation

Generating API docs using Generative AI methods

Jupyter Notebook

mlflow-openshift

Deploy and setup MLFlow on OpenShift

emerita

A Lightweight CNI Plugin using eBPF

performance-benchmarking

Collection of tools and automations for benchmarking data paths

net-ebpf-playground

copilot-ops-bot

GitHub App for copilot-ops

Real-Time-Data-Anonymization

This repo contains demo for KubeCon 2021 talk Real-Time Data Anonymization the Serverless Way - Yuval Lifshitz & Huamin Chen, Red Hat

storage-ransomeware-detector

Open Source Summit NA 2022: Manage Session Let Your Cloud Native Storage Save You from Ransomware! - Yuval Lifshitz & Huamin Chen, Red Hat

ipfs-operator

kube-nfs-kerberos

rosa-apps

Gitops repo for ROSA application manifests

zero-trust-catalog

Catalog of zero trust controls and component models for Red Hat products

sigstore-rpms

bootc-examples

ekho

Extending Kernel Hardware Offload (EKHO) – API PoC

firmware-on-the-edge

Examples and best practices for peripheral firmware on the Edge

kepler-carbon-intensity-integration

Integrating Kepler and OS-Climate

edge-security-demo

fingerprint

Use AI to detect workloads on your system

rag

ipfs-rpm

ceph-mirroring

datascience-wg

This repository will be used to track all the work that comes out of the Data Science Working Group

openshift-tests-optimization

OpenShift testing is computationally and financially expensive, involving large cloud-spend. There is potential to reduce this by doing post-hoc analysis of test data. This repository will contain all the experiments associated with the task.

Jupyter Notebook

copilot-operator

Cluster Operator for YAML Completion AI Services

optimal-stopping-point-tool

This tool would predict an Optimal Stopping point for long running CI tests

Jupyter Notebook

scribe-poc

prometheus-federation

microshift-config

Device configurations to deploy Microshift on RHEL for Edge

dutlink-board

caliper

A simple CLI tool to grab some simple pod metrics from a prometheus interface

microshift-katacoda

Demonstration of MicroShift using Katacoda

ushift-workload

Workload tested on Microshift

mallocsnoop

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.

Jupyter Notebook

kepler-rhel-demo

Demonstrating KEPLER on RHEL