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.
12 Weeks, 24 Lessons, IoT for All!
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A neural network that transforms a design mock-up into a static website.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
:satellite: Simple and ready-to-use tutorials for TensorFlow
Translated😮Python simulated login for some large websites, plus some simple web crawlers. I hope they are helpful to you❤️. If you like it, remember to give it a star🌟
Companion webpage to the book "Mathematics For Machine Learning"
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
llama3 implementation one matrix multiplication at a time
Your new Mentor for Data Science E-Learning.
Natural Language Processing Tutorial for Deep Learning Researchers
Learn ML engineering for free in 4 months! Register here 👇🏼
The Ultimate Go Study Guide
- golang
- computer-systems
- programming
- ebook
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
100 numpy exercises (with solutions)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python training for business analysts and traders
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
Practice your pandas skills!
- pandas
- jupyter-notebooks
- pandas-tutorial
- python-pandas
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)