Lists (8)
Stars
Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents
The absolute trainer to light up AI agents.
Container runtimes on macOS (and Linux) with minimal setup
Sample Generative AI tool for evaluating Infrastructure as Code and architecture diagrams against AWS Well-Architected best practices.
Feasible cost konfigurable NAT: An AWS NAT Instance AMI
The Amazon ECS CLI enables users to run their applications on ECS/Fargate using the Docker Compose file format, quickly provision resources, push/pull images in ECR, and monitor running application…
A terminal application to view, tail, merge, and search log files (plus JSONL).
Offers functions to validate and assert values within Terraform configurations, simplifying variable validation and custom conditions.
Free MLOps course from DataTalks.Club
Inference and training library for high-quality TTS models.
Modern authentication, on your terms. Open source alternative to Auth0, Clerk, WorkOS, Stytch.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
A guide to setting up a production-like Kubernetes cluster on a local machine
21 Lessons, Get Started Building with Generative AI
A next-generation cloud native kernel designed to unlock best-in-class performance, security primitives and efficiency savings.
Complete open-source monitoring and observability platform.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-aws
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
A library for building fast, reliable and evolvable network services.
Building event-driven applications the easy way in Go.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all