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21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Examples and guides for using the OpenAI API
12 Lessons to Get Started Building AI Agents
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
This is a repo with links to everything you'd ever want to learn about data engineering
🔊 Text-Prompted Generative Audio Model
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Anthropic's Interactive Prompt Engineering Tutorial
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Anthropic's educational courses
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Examples and guides for using the Gemini API
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Kubernetes community content
Python toolkit for quantitative finance
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Introduction to Deep Neural Networks with Keras and Tensorflow
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
New ways of breaking app-integrated LLMs
🦘 Explore multimedia datasets at scale
Ten thousand books, six million ratings