Name: Marcello Pietro Vendruscolo
Type: User
Bio: Data scientist specialised in Image Analysis and Machine Learning with work experience in digital forestry. Interested in Deep Learning and Explainable-AI.
Location: Helsinki, Finland
Marcello Pietro Vendruscolo's Projects
Third assignment of the Artificial Intelligence course (1DL340) at Uppsala University. The concepts of Bayesian network and Metropolis in Gibbs MCMC sampling algorithm are exercised in this assignment.
This repository contains the practical work developed during the Computer-assisted Image Analysis (1TD396) at Uppsala University.
This repository regards the second assignment, namely Breast Cancer Diagnosis using a Support Vector Machine (SVM), in the optimisation course at Uppsala University.
CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images.
This repository contains the assignments of the Data Engineering I (1TD069) course at Uppsala University.
This repository concerns the Deep Learning for Image Analysis (1MD120) course at Uppsala University.
This repository contains the code developed during the group project as part of the assessment in the Reinforcement Learning course at Uppsala University. The project consists of a Deep Q-Network for playing Atari games, in particular Pong, using Reinforcement Learning.
Second assignment of the Artificial Intelligence course (1DL340) at Uppsala University. The concept of hidden Markov models and associated algorithms are exercised in this assignment.
This repository contains typical image processing tasks that are solved in Python.
Fourth assignment of the Artificial Intelligence course (1DL340) at Uppsala University. The concepts of Deep Learning and Convolutional Neural Networks (CNN) are exercised in this assignment.
This repository regards the third assignment, namely Linear Programming in Staff Planning, of the Optimisation course at the Uppsala University.
This repository concerns the music classification project in the Statistical Machine Learning course at Uppsala University.
This repository contains solutions to the exercises in the Probabilistic Machine Learning (1RT003) course at Uppsala University.
Fifth assignment of the Artificial Intelligence course (1DL340) at Uppsala University. The concept of Reinforcement Learning with Q-Learning algorithm is applied to learn a cab driver the optimal route when picking-up and delivering passengers across the given locations. The toolkit Gym is utilised to create the virtual environment.
This repository regards the 1RT747 Reinforcement Learning course at Uppsala University.
First assignment of the Artificial Intelligence course (1DL340) at Uppsala University. The concept of problem solving by search is exercised in this assignment, particularly the A* algorithm.
This repository contains solutions to the exercises in the Statistical Machine Learning (1RT700) course at Uppsala University.
This repository regards the first assignment of the Optimisation course at the Uppsala University.