Educational Resource
Showing 31 of 31 projects
A collection of reference implementations and community-built servers for the Model Context Protocol (MCP).
A collection of reference implementations and community-built servers for the Model Context Protocol (MCP).
An ultra-simplified explanation of design patterns with real-world examples and PHP code samples.
A comprehensive guide to Python's essential data science libraries, available as free Jupyter notebooks.
A Python code collection and textbook for robotics algorithms, featuring implementations for localization, mapping, SLAM, path planning, and control.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
The fastai book, published as Jupyter Notebooks, provides an introduction to deep learning, fastai, and PyTorch.
A visual roadmap outlining the skills, tools, and libraries needed to become a React developer.
Code samples and implementations from the book 'Neural Networks and Deep Learning' for educational purposes.
A visual roadmap and study guide covering the modern data engineering landscape for aspiring data engineers in 2021.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.
A comprehensive collection of practical ASP.NET Core samples covering versions 2.1 through 10.0 with detailed explanations.
A practical booklet covering the four main steps of designing machine learning systems with 27 interview questions.
Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.
Lisp code and ebook for the classic textbook 'Paradigms of Artificial Intelligence Programming' by Peter Norvig.
A gentle step-by-step guide through the abstract and complex universe of Fragment Shaders.
A comprehensive, free information security reference covering techniques, tools, tactics, and resources for learning and professional development.
A visual roadmap outlining the skills, technologies, and learning paths to become a game developer in 2022.
Code repository for the 'Machine Learning with PyTorch and Scikit-Learn' book, providing practical examples and notebooks.
Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.
A free course teaching diffusion models theory and hands-on implementation using Hugging Face's Diffusers library.
A curated guide to cryptocurrency tools, algorithms, and resources for understanding and managing digital assets.
R code examples from the 'Machine Learning for Hackers' book, demonstrating practical machine learning techniques.
A comprehensive collection of clear examples, explanations, and resources for learning RxJS and reactive programming.
A comprehensive collection of machine learning tutorials and implementations in Python, covering algorithms from scratch to production deployment.
An interactive online learning platform for computer vision with a comprehensive Chinese ebook, code, and community.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
Guidelines, best practices, and training material for writing secure smart contracts across multiple blockchain platforms.
A visual roadmap and curated resource list for developers learning to build web applications with Rust in 2022.
A repository containing Stanford ACM-ICPC team notebook and lecture slides for competitive programming.
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