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Emulate complete machines or run programs built for another Linux or BSD architecture.

Build repeatable machine images from configuration templates before handing artifacts to deployment systems.

Build VM instances from preset or custom machine configurations on Google Cloud.

Developer-oriented machine-learning tutorials and project guides

Organize machine-learning experiments for quantitative investment research

Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.

Measure and identify O-rings from phone photos

Compiles and optimizes machine-learning models for deployment across hardware targets.

Build and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.

Collects and exposes resource-usage data for containers running on a host.

Generate terrain, erosion maps and textured scenes from connected devices

A launcher for AI apps and agents that run on your own machine.

Convert existing virtual-machine guests for KVM environments

Software-engineering practice for machine-learning applications

Machine-learning research and technical explanations

Machine learning and AI through recurring editions

Run and fine-tune AI models with a cloud API

Build machine learning apps in Python

Launch a bundled lightweight cloud server with one-click application images and a unified VPS console.

A YAML-based CLI for asserting the installed packages, services, files, ports, and other state of a system.

Run source-built or containerized web services on managed, autoscaling infrastructure.

AI image tool for creating characters, artworks and mixed images.

Create configurable cloud VMs with selectable regions, images, disks, networks, and billing modes.

Provision configurable Linux virtual machines with private networks, firewalls, volumes, and an infrastructure API.