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📚 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.
All Algorithms implemented in Python
🤗 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.
Command-line program to download videos from YouTube.com and other video sites
🦜🔗 Build context-aware reasoning applications
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
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
The Python micro framework for building web applications.
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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 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.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A collection of design patterns/idioms in Python
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.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.