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This repository demonstrates a scalable, secure, and cost-effective cloud architecture for a modern web application using AWS services and DevOps practices. The project features a highly available architecture with Docker containerization, managed databases, Infrastructure as Code (IaC) with Terraform, and comprehensive monitoring and logging.
Numerous SDK and CLI. Use the SDK for integrating your Python apps with Numerous so you can share them with users and use the features of the Numerous platform.
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
MLOps | Machine Learning Operations Specialization from Duke University : acquiring critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow.
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs.