Pinned Repositories
anomaly-detection-dask
arpav-nodejs
A small nodejs project about scraping data from arpav data
ipvisitatore
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Laboratorio-9
LaboratoryOfComputationalPhysics_Y3
Repository for the tutorials and exercises for the course "Laboratory of Computational Physics" of the academic year 2020/21
LCP_projects_Y3
Collection of final projects for Laboratory of Computational Physics, Year 3
lfn-politician
lymphoma-classification
This repository contains the code and paper about the Human Data Analytics project course at the University of Padua. The authors propose models that can achieve up to 98% of accuracy in classify lymphoma subtypes, highlighting that we need to focus on obtaining an explainable model instead of throwing a large and complex one that we cannot fully understand. The notebook includes preprocessing functions for fast training on Google TPUs.
panoramic-image-generator
An image stitching software written in C++ and OpenCV
cristianocolpo's Repositories
cristianocolpo/panoramic-image-generator
An image stitching software written in C++ and OpenCV
cristianocolpo/anomaly-detection-dask
cristianocolpo/arpav-nodejs
A small nodejs project about scraping data from arpav data
cristianocolpo/ipvisitatore
cristianocolpo/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
cristianocolpo/Laboratorio-9
cristianocolpo/LaboratoryOfComputationalPhysics_Y3
Repository for the tutorials and exercises for the course "Laboratory of Computational Physics" of the academic year 2020/21
cristianocolpo/LCP_projects_Y3
Collection of final projects for Laboratory of Computational Physics, Year 3
cristianocolpo/lfn-politician
cristianocolpo/lymphoma-classification
This repository contains the code and paper about the Human Data Analytics project course at the University of Padua. The authors propose models that can achieve up to 98% of accuracy in classify lymphoma subtypes, highlighting that we need to focus on obtaining an explainable model instead of throwing a large and complex one that we cannot fully understand. The notebook includes preprocessing functions for fast training on Google TPUs.
cristianocolpo/lorenz-autoencoder
Generate partial trajectories of a Lorenz system with Variational Autoencoders
cristianocolpo/relazioni-chimica
relazioni di chimica organica analitica e microbiologia
cristianocolpo/sfm-surf-autoencoder
Local feature compression using autoencoders and testing on 3D reconstruction using SfM
cristianocolpo/TheUploader