microsoft / generative-ai-for-beginners

21 Lessons, Get Started Building with Generative AI

jackfrued / Python-100-Days

Python - 100天从新手到大师

HandsOnLLM / Hands-On-Large-Language-Models

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

chiphuyen / aie-book

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

openai / openai-cookbook

Examples and guides for using the OpenAI API

Liquid4All / cookbook

Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK

facebookresearch / segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

facebookresearch / sam2

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

microsoft / mcp-for-beginners

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

NVIDIA-NeMo / Nemotron

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

google-gemma / cookbook

A collection of guides and examples for the Gemma open models from Google.

google-gemini / cookbook

Examples and guides for using the Gemini API

lavine888 / CityU-CS-Notes

Course notes & materials based on my CityU MSc CS journey. Includes study notes from 10 courses and resources shared by peers. Hope it helps fellow students — Star & PRs welcome. 基于香港城市大学 MSc CS 修课经历整理的课程笔记与资料。收录 10 门课程的学习沉淀，以及课程社群中同学们分享的资料。希望能帮到同样在学的同学，欢迎 Star 与 PR。

spmallick / learnopencv

Learn OpenCV : C++ and Python Examples

numerai / example-scripts

A collection of scripts and notebooks to help you get started quickly.

Azure-Samples / azureai-samples

Official community-driven Azure AI Examples

realpython / materials

Bonus materials, exercises, and example projects for our Python tutorials

elastic / elastic-labs

Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch

JohnSnowLabs / spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

petercorke / RVC3-python

Code examples for Robotics, Vision & Control 3rd edition in Python

tensorflow / examples

TensorFlow examples

tensorflow / docs

TensorFlow documentation

makcedward / nlpaug

Data augmentation for NLP

mongodb-developer / GenAI-Showcase

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

pinecone-io / examples

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Azure / azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

gboeing / osmnx-examples

Gallery of OSMnx tutorials, usage examples, and feature demonstrations.

wandb / examples

Example deep learning projects that use wandb's features.

giswqs / intro-gispro

Code examples for the book titled Introduction to GIS Programming

deepset-ai / haystack-cookbook

👩🏻‍🍳 A collection of example notebooks using Haystack

AlexKrasnok / quantum-computing-lectures

Open quantum computing course for teaching, self-study, exam preparation, and quantum-technology career preparation.

aws / amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

aws-samples / amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models