Simulación basada en agentes para estudiar selección natural y comportamiento emergente. Implementado en Python con agentes SPADE que se comunican por XMPP, genera datos de generación en CSV y proporciona una interfaz web interactiva 3D (Three.js) para visualización en tiempo real.

Engineering experimental toolkit for single-channel EEG/ECG acquisition, real-time visualization, analysis and report generation based on TGAM/ThinkGear-like protocol. For learning/research only, not for medical use.

A Python application that automatically solves Minesweeper using computer vision, probabilistic decision making, and custom OCR. Features include real-time board detection, intelligent move selection, and comprehensive debug visualization tools.

We developed this Realtime Lab Streaming Layer Dashboard, a Python-based, interactive GUI for visualizing multiple LSL streams and channels in real-time. This dashboard allows researchers to quickly verify stream integrity and monitor the data quality before or during recording sessions.

CartPole Reinforcement Learning with Neuroevolution of augmenting topologies

In this tutorial, we will learn Hand Tracking in real-time. The best part is we don’t have to configure 100 parameters along with 20 installs to make it run. Within 5 to 10 mins you will have your model working. Video Link - https://youtu.be/C1MUbMW3g50

This project explores the monochromatic triangle problem, leveraging genetic algorithms to find optimal solutions. It includes a visualization component to illustrate the problem and solution.

Python-based application built using CustomTkinter for the graphical user interface (GUI) and Matplotlib for data visualization. It allows users to import datasets, perform real-time data visualization, and analyze data using various chart types and machine learning techniques.