Discover @lodeguns Open Source projects

Francesco Bardozzo (Oberlunar) (@lodeguns)

lodeguns

Stars
82
Global Rank 239,858 (Top 9 %)
Followers 8
Following 1
Registered about 9 years ago
Most used languages

Python
38.9 %

R
27.8 %

PureBasic 5.6 %

Jupyter Notebook
5.6 %

C++
5.6 %

Java
5.6 %

Logos 5.6 %

XSLT 5.6 %
Location 🇮🇹 Italy
Country Total Rank 2,434
Country Ranking

PureBasic 7

Logos 11

XSLT 13

R
95

Jupyter Notebook
348

Python
583

C++
1,047

Java
1,478

VTK-OBJ

From VTK to OBJ wavefront converter

StaSiS-Net

This is the repository of the journal paper: StaSiS-Net: a stacked and siamese stereo network for depth reconstruction in modern 3D laparoscopy. Bardozzo et al.

Solids-classification-3D-CNN-3D-GradCam

Here we introduce the problem of 3D solids classification with a CNN (spheres and octahedra). We implemented a 3D GradCam model, in order to underline the most relevant 3D volumes useful for classification.

Jupyter Notebook

salina_a2c_gym_anytrading

Slight modification to one of the Facebook Salina examples, to test the A2C algorithm on financial series.

ZED-3D-Aruco

This is a simple example where the 3D reconstruction through ZED sdk is combined with the aruco markers detection.

BioSemanticTechII

Some relevant examples of bio medical semantic-web leveraging R, SPARQL querying PubMed and MeSH

FuzzyAdaptiveBinarization

This is the repository of the journal paper: Sugeno integral generalization applied to improve adaptive image binarization. Bardozzo et al.

Cross-X-AI

Cross X-AI: Explainable semantic segmentation of laparoscopic images in relation with depth estimations.

Java-COOL-Compiler-

Java Lexer, Parser, Seman and CGEN for the COOL language.

CustomLayers-in-Tensorflow-2.0

The script below shows how to modify, with a customized layer, the value of the tensors of a network being trained. This behaviour is modelled considering static and dynamic operation assignments. The layout is written with the new version of Tensorflow 2.0 and Keras 2.3.0 Cublas 10, Cudnn 7.

BioSemanticTech

Some documented examples of bio semantic-web technologies in R, XSLT and SPRQL

LSTM-course-May

Didattic Material for the LSTM workshop done the 23-25 May 2018 @ unisa.

NetBasAdj

Metabolic Networks Based Adjacency for Multi Omic Patterns Analyses

meta-analysis-logistic-regression-with-BUGS

fatigue

This is the repository of the journal paper: Neural networks for fatigue crack propagation predictions in real-time under uncertainty - Giannella et al.

MORA

A study on multi-omic oscillations in Escherichia coli metabolic networks. Journal paper.

MOOs-An

Multi Omic Oscillations Patterns Analyses

Elegans-AI-Artificial-Connectomic-Networks

This is the repository of the journal paper Elegans-AI: how the connectome of a living organism could model artificial neural networks. Bardozzo et al.

Multi-omicSignals

This repository contains the supplementary materials of the manuscript mentioned in the title, and associated source code, the whole data set of signals and some functions to obtain fast results with several multi-omic combinations within and between bacteria. Should you need help running our code, please contact us.