This repository contains a collection of lab exercises and exams from the TDDE15: Advanced Machine Learning course taking at Linköping Univerity during the fall 2024. The main topics are: Bayesian Networks, Hidden Markov Models, Q-learning, REINFORCE, and Gaussian Processes.

Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"

A collection of AI algorithms and techniques covering intelligent agents, search strategies (BFS, DFS, A*), probabilistic reasoning (Bayesian networks, HMM), neural networks (feed-forward, Hopfield), and reinforcement learning. Topics include adversarial search, alpha-beta pruning, decision trees, Markov processes, and game theory applications.

First implementation of NormAN, an agent-based framework for normative argument exchange across networks.

News segmentation by Bayes classifier.

Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization

This repository contains the assignments of Artificial Intelligence course at Sharif University of Technology.

TDDE15 - Advanced Machine Learning course at Linkoping University, Sweden

TPS ET RAPPORTS MODULE RCR 1 et 2

This project aimed at inferring whether a patient has cancer based on their data. It consists of 2 applications: one for learning and one for predicting.

Artificial intelligence course projects

The homeworks related to Machine Learning university course would be saved here.

My introduction to Causality. I used a breast cancer dataset and tried to classify cell types by using the causal relationship between the cell features.

This project is a simple text processing using bayesian networks and bag of words(BOW) algorithm.

Case Study: Personalized Anti-Coagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials

Museum fire Detection

Finding d-separated nodes in a belief network

Python code to compute full joint distributions of bayesian network