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21 Lessons, Get Started Building with Generative AI
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Anthropic's Interactive Prompt Engineering Tutorial
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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…
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Examples and guides for using the Gemini API
Natural Language Processing Tutorial for Deep Learning Researchers
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
The "Python Machine Learning (1st edition)" book code repository and info resource
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open-source, low-code machine learning library in Python
TensorFlow Tutorials with YouTube Videos
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Code samples used on cloud.google.com
Visualizations for machine learning datasets
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.
A course in reinforcement learning in the wild
An adversarial example library for constructing attacks, building defenses, and benchmarking both
The Udacity open source self-driving car project
Simple tutorials using Google's TensorFlow Framework