Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

From API to AI in 30 Seconds - Transform any API into an intelligent MCP agent that learns, adapts, and speaks human

A Dual-Coding Architecture for Intelligent Social Agents.

Scrape-AI is a Python library for intelligent web scraping using LLMs like, OpenAI, Anthropicand Selenium. It dynamically fetches data based on user queries, enabling agent-like scraping with configurable models, modular design, and support for real-time data extraction from dynamic websites.

Formats and pivots data from D2L Brightspace intelligent agents, outcomes, and survey reports (manual Excel workflows also included)

Summer of Code, IITB 2017. This project involves developing smart agents that can play simple PC games. We use OpenAI as the base platform for benchmarking and testing.

Snake game in python with intelligent, self learning agents.

A self-evolving, AI-native language and platform for intelligent agents and autonomous software.

Intelligent agent to play Wumpus World using Genetic Algorithms

CrewAIMaster transforms any task description into a fully functional, production-ready multi-agent system, making advanced AI orchestration accessible to everyone.

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

A multi-agent platform built on the top of the pystarworldsturbo library. Part of the Intelligent Agents course taught at Royal Holloway University of London.

Tic-Tac-Toe

AI-powered browser automation with GPT reasoning, visual intelligence, and distributed architecture.

This project explores the creation of dynamic agent-based environments using the Environment Editor (EE), a custom-built tool designed to generate multi-layered grid systems for simulations and games.

A combination of all code that I wrote during Eurisko, my high school's advanced computer science program.

An intelligent system for map exploration, victim clustering, severity estimation using machine learning, and rescue mission optimization with genetic algorithms.

Intelligent agent for maritime cargo bidding and vessel routing optimization using ALNS and regret-based heuristics

Curso completo de Agentes IA con LangChain, LangRAP y n8n. Incluye ejemplos prácticos, agentes simples, agentes que resumen PDFs, agentes girly, gestión de entornos, variables de entorno y buenas prácticas con GitHub.

All programs for AI lab