📚 Freely available programming books

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.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

🦜🔗 The platform for reliable agents.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

The Python programming language

The Python micro framework for building web applications.

💫 Toolkit to help you get started with Spec-Driven Development

Public repository for Agent Skills

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

Scrapy, a fast high-level web crawling & scraping framework for Python.

A programming framework for agentic AI

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Streamlit — A faster way to build and share data apps.

A collection of design patterns/idioms in Python

The best ChatGPT that $100 can buy.

🎨 Diagram as Code for prototyping cloud system architectures

The uncompromising Python code formatter

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

the only cheat sheet you need

aider is AI pair programming in your terminal

TensorFlow code and pre-trained models for BERT

A toolkit for developing and comparing reinforcement learning algorithms.