Pinned Repositories
ArcEager
Neural dependency parsing using LSTMs and transformers (BERT). (Project for the NLP course)
BiasMedical
Compare various methods to debias a ML task (project for the AI course)
CUDAexercises
CV
Labs for Computer Vision
FrancescoMonaco.github.io
HW2
BDC homework
HW3
Third homework for the BDC course
LEIT-motifs
Scalable mining of multidimensional time series motifs.
LFN_Project
The aim of this project is to discuss how brain connectivity is influenced by different diseases. Graph analysis is used to report features that can underline the impact of the disease on the whole brain network. The focus is on neuropsychiatric disorders such as bipolar disorder, ADHD, and schizophrenia.
Sport-Players-Detect-Segment
Sport players detection and segmentation, playing field segmentation. Project for the Computer Vision Course
FrancescoMonaco's Repositories
FrancescoMonaco/ArcEager
Neural dependency parsing using LSTMs and transformers (BERT). (Project for the NLP course)
FrancescoMonaco/LEIT-motifs
Scalable mining of multidimensional time series motifs.
FrancescoMonaco/LFN_Project
The aim of this project is to discuss how brain connectivity is influenced by different diseases. Graph analysis is used to report features that can underline the impact of the disease on the whole brain network. The focus is on neuropsychiatric disorders such as bipolar disorder, ADHD, and schizophrenia.
FrancescoMonaco/BiasMedical
Compare various methods to debias a ML task (project for the AI course)
FrancescoMonaco/CUDAexercises
FrancescoMonaco/CV
Labs for Computer Vision
FrancescoMonaco/FrancescoMonaco.github.io
FrancescoMonaco/HW2
BDC homework
FrancescoMonaco/HW3
Third homework for the BDC course
FrancescoMonaco/IntelligentRoboticsEnv
FrancescoMonaco/Sport-Players-Detect-Segment
Sport players detection and segmentation, playing field segmentation. Project for the Computer Vision Course
FrancescoMonaco/Multimedia
Exercises and project for the CE for Music and Multimedia course
FrancescoMonaco/TiagoMovePickPlace
Navigate in the environment, recognize objects using AprilTags, pick and place objects, recognize obstacles using laser and camera (project for Intelligent Robotics)