AI Agents for Rock Paper Scissors is an open-source Python project that demonstrates how to build, train, and evaluate different AI strategies—random play, rule-based pattern recognition, and reinforcement learning (Q-learning)—in the classic Rock-Paper-Scissors game. It provides modular agent classes, a configurable game runner, performance logging, and visualization utilities. Users can easily swap agents, adjust learning parameters, and explore AI behavior in competitive scenarios.

AnyPicker utilizes advanced AI pattern recognition to make web scraping accessible to everyone. You don't need any coding knowledge to use this tool; simply click on the data you want to scrape, and AnyPicker will do the rest. This extension works with various websites, thus allowing users to extract images, text, and tables. It's ideal for marketers, researchers, and businesses looking to automate their data collection processes.