
Comprehensive tutorial on GitHub Actions, covering workflows, secrets, testing, and productivity enhancements. Learn to set up automated processes and improve development team efficiency.

Comprehensive guide to setting up an end-to-end machine learning project, covering GitHub repository creation, environment setup, and initial code commits.

Learn to install and use HACS (Home Assistant Community Store) for easy access to community-developed integrations and frontend features. Includes GitHub setup and step-by-step installation guide.

Learn to deploy from VS Code using GitOps and Kubernetes without extensive expertise. Discover how to set up safe, reliable, and automated systems for efficient app development and deployment.

Learn strategies for securing external workloads in automated deployments, including vetting binaries, selecting providers, and utilizing open-source tools to enhance control and visibility.

Learn to create a professional CV using LaTeX, Docker, and GitHub Actions for automatic updates and easy sharing with recruiters. Streamline your job application process with this modern approach.

Discover preview environments and Preevy, an open-source tool for simplified provisioning. Learn how to streamline development workflows and improve collaboration.

Discover ephemeral.run: a system enabling full-stack testing within GitHub pull requests. Learn how to provide early feature previews and run regression tests in live environments before merging to master.

Comprehensive deep learning project on kidney disease classification, covering data ingestion, model preparation, training, evaluation, MLflow integration, DVC pipeline, and AWS deployment.

Learn to easily set up and test Ubuntu 22.04 using virtual machines. Discover tools like QuickMu for effortless VM creation, configuration, and management without needing extra hardware.

Discover key principles of senior-level software engineering through a real-world repository upgrade, applying solid concepts to elevate any project's quality and efficiency.

Step-by-step guide to set up a retrieval-augmented generation (RAG) system using NVIDIA AI Workbench, enabling developers to create AI projects on their local machines without a GPU in about an hour.

Learn to annotate images using LLava 1.6 and Ollama. Explore file handling, image loading, API integration, and data management in this practical tutorial on building an image captioning application.

Step-by-step guide to fine-tuning a Mistral 7B model locally, covering dataset creation, conversion, uploading, fine-tuning, model conversion, and testing, with practical demonstrations and insights.

Step-by-step guide to deploying Docker containers, covering basics, Dockerfile creation, local builds, and deployment on Render.com. Ideal for students and hobbyists seeking free hosting options.

Learn to build a GitOps pipeline using FluxCD and Kubernetes. Covers core GitOps principles, repository structuring, deploying applications, and implementing image update automation.

Explore GitHub Codespaces for Zephyr development: instant setup, easy access, and streamlined onboarding for new users. Learn implementation, benefits, and workarounds for this cloud-based approach.

Learn to deploy and monitor ML pipelines using open-source tools. Automate data refresh, generate forecasts, and set up monitoring dashboards with GitHub Actions, Docker, MLflow, and more.

Learn to build blockchain solutions using Python on Algorand. Explore data storage, logic evaluations, and access control. Leverage familiar tools like Poetry and Pytest to deploy fundamental blockchain primitives.

Learn to fine-tune large language models with PyReft, using your own data to customize and enhance AI performance for specific tasks and domains.

Explore quantitative foundations of ecology and evolution, covering code publishing, best practices, GitHub usage, and scientific publishing processes.