Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🦜🔗 The platform for reliable agents.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
🏡 Open source home automation that puts local control and privacy first.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
A high-throughput and memory-efficient inference and serving engine for LLMs
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
A natural language interface for computers
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
LlamaIndex is the leading framework for building LLM-powered agents over your data.
The definitive Web UI for local AI, with powerful features and easy setup.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
Developer-first error tracking and performance monitoring
🎨 Diagram as Code for prototyping cloud system architectures
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.