Provides classes to simulate epidemics on (potentially time-varying) networks using a Gillespie stochastic simulation algorithm or the classic agent based method.

float class with SI units.

This course covers fundamental machine learning concepts, including deep learning techniques with an emphasis on neural networks (e.g., convolutional networks). It explores programming methods for key algorithms and practical applications using ready-made tools.

calculator which takes into account units and prefixes to give an accurate unit for the result (works with SI an imperial)

Repositório do trabalho prático no âmbito da UC de Agentes e Sistemas Multiagente (ASM) - Mestrado em Engenharia Informática (MEI/MIEI) - Perfil de Sistemas Inteligentes (SI) - Universidade do Minho (UMinho)

A mental health support chatbot built by fine-tuning LLaMA models (2-7b, 3.2-1B, 68m) using LoRA and QLoRA. Covers the full pipeline—from dialogue data preprocessing to training and evaluation (BLEU, Perplexity, VADER Empathy Score).

Pneumonia detection in X-ray images using three deep learning models: VGG19, ResNet50, and MobileNet.