Showing 981-1000 of 1,131 projects
Kusion is a declarative, intent-driven platform orchestrator for building internal developer platforms on Kubernetes.
A thin Python wrapper around the AWS CLI for use with LocalStack, a local AWS cloud stack.
A Go-based CLI plugin and gateway for interacting with the MCP (Multi-Cloud Platform) ecosystem.
A GitHub Action for authenticating to Google Cloud.
Provides pre-built Google Cloud Dataflow templates to simplify data processing tasks on the Google Cloud Platform.
Forseti Security is a tool for managing security and compliance on the Google Cloud Platform.
CoCalc is a collaborative cloud-based platform for computational mathematics, programming, and more.
A Laravel package for integrating the Firebase PHP Admin SDK, providing seamless Firebase authentication and realtime database access.
Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Terraform orchestration tool that helps developers keep environment configurations DRY using hierarchical imports, inheritance, and more.
This repository appears to be a platform for sharing media resources from various cloud storage providers, not a developer tool.
A comprehensive platform for designing, visualizing, and printing reports, diagrams, and more.
A powerful CD/CI platform for deploying and managing applications on various cloud and serverless platforms.
A simple, versatile, and self-hosted cloud platform for developers that integrates with CouchDB.
IoTSharp is an open-source IoT platform for data collection, processing, visualization, and device management.
TerraGoat is a learning and training project demonstrating common configuration errors in cloud environments.
Configures opinionated GKE clusters for Kubernetes deployments on Google Cloud Platform.
This repository contains study materials for the ISC2 Certified Cloud Security Professional (CCSP) certification.
This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.
A collection of paper reading notes on deep learning and machine learning topics.
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