Anthropic's Interactive Prompt Engineering Tutorial
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Learn OpenCV : C++ and Python Examples
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
A course in reinforcement learning in the wild
TensorFlow documentation
Bonus materials, exercises, and example projects for our Python tutorials
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
📚 Jupyter notebook tutorials for OpenVINO™
The Python Code Tutorials
Multi-agent systems, memory, planning, reasoning loops
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南
MONAI Tutorials
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
https://www.sc-best-practices.org
Python tutorials in both Jupyter Notebook and youtube format.
Videos, notes and experiments to understand deep learning
从 NLP 到 LLM 的算法全栈教程,在线阅读地址:https://datawhalechina.github.io/base-llm/
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
Tutorials on sap.com
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
Tutorials and content created by Earth Engine users, for Earth Engine users
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.
Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control