Do design No code 💻📱🛒📚
- shop
- shopping
- user-system
- shop-cart
73,362 visible repositories in the index
97–120 of 131 · Most stars
Do design No code 💻📱🛒📚
The projects and the materials that accompany the Flutter Apprentice book
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
From apprentice to master (CC BY-NC-ND)
Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.
Unofficial Reference Book for the Bevy Game Engine
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
A detailed document explaining and documenting HTTP/2, the successor to the widely popular HTTP/1.1 protocol
The book documenting the curl project, the curl tool, libcurl and more. Simply put: everything curl.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
A document describing the HTTP/3 and QUIC protocols
The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product.
The repository host gives no description.
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
A developers guide to HIPAA compliance and application development.
A summary of Apple's Swift language written on Playgrounds
Implementation of Peter Shirley's Ray Tracing In One Weekend book using Vulkan and NVIDIA's RTX extension.
Contributed code examples from O'Reilly Android Cookbook. See #user-content-table README below!
These are the sample Bounded Contexts for C#.NET from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
Harness Engineering 101 — building AI agents from first principles. The LLM is the brain; the harness is the body.
Mostly experiments based on "Advances in financial machine learning" book
Official code repo for the O'Reilly Book - "An Illustrated Guide to AI Agents"
Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"