This is the official implementation of the paper "Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning".
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Updated
Feb 28, 2023 - Python
This is the official implementation of the paper "Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning".
Deep Reinforcement Learning to Play 2048 (with Keras)
Master's thesis about autonomous navigation of a drone in indoor environments carried out to obtain the degree of Master of Science in Computer Science Engineering (University of Liège, academic year 2020-2021).
This is the official implementation of the paper "Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression".
Game using inteligent agents for the AI discipline.
This is the official implementation of the paper "Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents".
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.
Snake game in python with intelligent, self learning agents.
Práctica do curso de especialización en Intelixencia Artificial e Big Data de Formación Profesional - IES de Teis
Design and Implementation of Pac-Man Strategies with Embedded Markov Decision Process in a Dynamic, Non-Deterministic, Fully Observable Environment
The objective of this project is to build a forward planning agent that uses search and symbolic logic techniques to automatically develop and execute plans to achieve their goals.
🤖 A simulation of a simplified rover controlled by an JAM Intelligent Agent whose primary goal is to explore the rocks placed in a an two dimensional grid. Used Python for Visualizations.
An Intelligent Agent written in prolog for managing the smart environnement of a room.
CS 531 Course Assignments + Projects at OSU
Implementation of different search algorithms for the Pacman game.
🐋 A repository for useful algorithms and data structures
This repository contains a collection of basic artificial intelligence and machine learning algorithms that I developed during my second year of university. Here, you'll find a selection of algorithms, including a Bayesian spam filter for email classification, optical character recognition and the Min-Max tree algorithm.
An Intelligent Assistant that explains the content of a PDF file. Built with ChromaDB and Langchain.
This self sustained autonomous device aims to provide real-time adaptive solution based on Machine Learning inferences
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