GitHub
clusteranalysisbasedfastingpostprandialglucoseinsulin
Code of the paper "Cluster Analysis Based on Fasting and Postprandial Plasma Glucose and Insulin Concentrations"
pasypy
A python-based tool using parameter synthesis to find safe and unsafe regions of the parameter space
pmv-si-2023-2-pe5-t4-t5-grp07
pmv-si-2023-2-pe5-t4-t5-grp07 created by GitHub Classroom
wireshiny
A Shiny app developed based on the wire (https://yuhangtom.github.io/wire/) package on YuhangTom/wire (https://github.com/YuhangTom/wire).
https://github.com/ivan020/resume
My up-to-date (probably) cv. I keep it here to always have an access to.
ppsr2dcatcs
Aproaching a model-driven solution for improving FAIR qualities of Citizen Science Metadata
braingut-wineup-consumer-study
This work provides a validated tool to estime wine volume in a glass from a single view image. The code was fine-tuned from the previous research (Cobo et al., published in Heliyon 2022) and validated on an independent consumer study as part of the BrainGut_WineUp project.
data-driven-eit-imaging-using-recurrent-neural-networks
Increasing the Reliability of Absolute EIT Imaging using an LSTM-VAE Model Approach
polynomial-evaluation
This repository includes all the code for the paper: "Private computation of polynomials over networks"
task_three_step
Three-step decision-making task described by Keramati et al., 2016 "Adaptive integration of habits into depth-limited planning defines a habitual-goal–directed spectrum"
https://github.com/ivan020/z-m-scores-for-kmeans
Altman-Z and Beanish-M are used to cluster some stocks
task_controller_setup
A task to setup input controllers by prompting for input responses.
task_words_faces
Words and faces lateralization task, adapted from Dundas et al., 2013
proj_naive-embedded-reconstruction
Research project exploring multiplex reconstruction techniques informed by graph embeddings.
af_replacement
Experiments the supporting code for the "Using Adaptive Activation Functions in Pre-Trained Artificial Neural Network Models" paper
https://github.com/ivanballesteros/astortfgfork
Automatic program repair for Java with generate-and-validate techniques :v::v:: jGenProg (2014) - jMutRepair (2016) - jKali (2016) - DeepRepair (2017) - Cardumen (2018) - 3sfix (2018)
gov.nasa.pds
Transforms PDS3 and PDS4 product labels and data into various formats.
statistical-learning-toolkit
A comprehensive Statistical Learning Toolkit, encompassing diverse classifiers, parameter and density estimators, and dimensionality reduction procedures.
prepngs
A pipeline to pre-process raw NGS data for downstream reuse across various pipelines
ttp
Implement of the paper "Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection"
python_to_grbl
A simple open-source python 🐍 to grbl 🤖 sender || Controlling 3-axis GRBL/CNC/gcode machines with python over a serial/usb connection that waits for completion of movement before sending the next command
os-stanford-workshop
Content produced for Open Source Licensing & Citation workshop
multidlo
[ICRA RMDO 2023] This repository contains the code used in our paper, "MultiDLO: Simultaneous Shape Tracking of Multiple Deformable Linear Objects with Global-Local Topology Preservation." This vision-only algorithm is useful for tracking multiple DLOs, including wire and rope, as they are entangled.
concatminiscope
MATLAB algorithm for the concatenation of miniscope recorded sessions.
https://github.com/ivandiliso/kge-seminar-slides
Sorgente e Slides per il Seminario "Knowledge Graph Embeddings" per Apprendimento Automatico 2024-2025, Corso di Laurea Magistrale in "Data Science" Università degli Studi di Bari Aldo Moro
impactofbiasnonstationarity
Code for 'Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods' (Van de Velde et al., available as preprint at https://doi.org/10.5194/hess-2020-639)
template
The template repository for code and data created and used by the Brain Development and Disorders Lab.
replitimer
Step-by-step instructions and Snakemake pipeline for processing Replication Timing Data
https://github.com/ivandiliso/triqlet
A PyTorch and Qiskit abstraction layer for metric learning and quantum neural networks using TripletLoss
https://github.com/fgazzelloni/mlr3
mlr3: Machine Learning in R - next generation
pinna-anthropometry-extraction
Extraction of anthropometric features from pinna depth images
dam-anomaly-detection
[AVSS21 Oral] A framework consisting of Dissimilarity Attention Module (DAM) to discriminate the anomaly instances from normal ones both at feature level and score level. In order to decide instances to be normal or anomaly, DAM takes local spatio-temporal (i.e. clips within a video) dissimilarities into account rather than the global temporal context of a video.
auto_populate_fields
This REDCap Module provides rich control of default values for data entry fields via a set of action tags. These action tags allow fields to be populated based on values from an ordered list of fields and static values. The fields can be read from the current event or the previous event in longitudinal projects.
