Popular GitHub Repositories for Autoscaling

Extensible generative AI platform on Kubernetes with OpenAI-compatible APIs.

Autoscaling Self-Hosted GitHub Actions Runners on Hetzner Cloud.

Wave Autoscale (Open Source Version) - Deprecated. We have transitioned to a AI-powered version of Wave Autoscale.

This repository shows various ways of deploying a vision model (TensorFlow) from ? Transformers.

Kubernetes enhancements for Network Topology Aware Gang Scheduling & Autoscaling

A Framework For Intelligence Farming

In this Amazon SageMaker tutorial, you'll find labs for setting up a notebook instance, feature engineering with XGBoost, regression modeling, hyperparameter tuning, bring your custom model etc.

In this workshop, we demonstrate how to choose the right container and right instance types, optimize container parameters, and set up the right autoscaling policies and how to use APIs to get recommendations with Amazon SageMaker

Senior Capstone Project. Machine learning and data analysis on Tweets to determine presidential election outcomes.

Production-grade scalable embedding API server using SentenceTransformers "intfloat/multilingual-e5-base" model, powered by Ray Serve for multi-GPU orchestration, with Prometheus & Grafana monitoring.

Vite Blog App is a modern, containerized blogging platform built with React and Vite, deployed on Kubernetes using Helm and Minikube. It features Firebase authentication, profile management, and scalable deployment with autoscaling and Ingress for external access.

Vite Blog App is a modern, containerized blogging platform built with React and Vite, deployed on Kubernetes using Helm and Minikube. It features Firebase authentication, profile management, and scalable deployment with autoscaling and Ingress for external access.

AI based Kubernetes deployment autoscaler