21 Lessons, Get Started Building with Generative AI

Examples and guides for using the OpenAI API

Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

12 Weeks, 24 Lessons, AI for All!

Anthropic's Interactive Prompt Engineering Tutorial

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

The fastai book, published as Jupyter Notebooks

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

Anthropic's educational courses

A collection of various deep learning architectures, models, and tips

Examples and guides for using the Gemini API

📡 Simple and ready-to-use tutorials for TensorFlow

Your new Mentor for Data Science E-Learning.

Foundational Models for State-of-the-Art Speech and Text Translation

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.