datawhalechina / deepagents-in-action
📚 《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
datawhalechina / deepagents-in-action
NirDiamant / GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
NVIDIA / accelerated-computing-hub
NVIDIA curated collection of educational resources related to general purpose GPU programming.
walkinglabs / hands-on-modern-rl
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
datawhalechina / base-llm
从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/
spmallick / learnopencv
Learn OpenCV : C++ and Python Examples
TingsongYu / PyTorch-Tutorial-2nd
《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。
theislab / single-cell-best-practices
https://www.sc-best-practices.org
roboflow / notebooks
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.
NirDiamant / Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
openvinotoolkit / openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
Project-MONAI / tutorials
MONAI Tutorials
sap-tutorials / Tutorials
Tutorials on sap.com
walkinglabs / self-improving-agent-notebook
Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.
yandexdataschool / Practical_RL
A course in reinforcement learning in the wild
realpython / materials
Bonus materials, exercises, and example projects for our Python tutorials
google / earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
Jev-Engineering / cookbook
Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control
tensorflow / docs
TensorFlow documentation
MARKTECHPOST-AI-MEDIA-INC / AI-Agents-Projects-Tutorials
Multi-agent systems, memory, planning, reasoning loops
FurkanGozukara / Stable-Diffusion
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
gboeing / osmnx-examples
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
mGalarnyk / Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
roatienza / Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
qiskit-community / qiskit-community-tutorials
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
LukeDitria / pytorch_tutorials
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
x4nth055 / pythoncode-tutorials
The Python Code Tutorials
curiousily / AI-Bootcamp
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)
guipsamora / pandas_exercises
Practice your pandas skills!
catboost / tutorials
CatBoost tutorials repository