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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: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Command-line program to download videos from YouTube.com and other video sites
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The Web framework for perfectionists with deadlines.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
🏡 Open source home automation that puts local control and privacy first.
The Python micro framework for building web applications.
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…
scikit-learn: machine learning in Python
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
The world's simplest facial recognition api for Python and the command line
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.
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
🎨 Diagram as Code for prototyping cloud system architectures
Streamlit — A faster way to build and share data apps.
A toolkit for developing and comparing reinforcement learning algorithms.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python