22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

A web-based demonstration of blockchain concepts.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

A collection of prompt templates and agent configurations for AI-driven product development, from planning to MVP, with support for Claude Code and Cursor.

A Three.js agent skill pack for generating high-quality 3D graphics, scenes, and games, packaged for AI coding agents like Claude Code, Codex, and Cursor.

Hedy is a gradual programming language to teach children programming. Gradual languages use different language levels, where each level adds new concepts and syntactic complexity. At the end of the Hedy level sequence, kids master a subset of syntactically valid Python.

This repo contains a sample application based on a Garage Management System for Pitstop - a fictitious garage. The primary goal of this sample is to demonstrate several software-architecture concepts like: Microservices, CQRS, Event Sourcing, Domain Driven Design (DDD), Eventual Consistency.

Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your algorithmic trading strategies.

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.