GitHub
bloom-filter-psi-attack
A demonstration of how Bloom filter-based (M)PSI schemes can be attacked.
openscience
Repository for Artificial Intelligence And Open Science In Research Software Engineering deliverables
baylum
Chronological Bayesian models integrated for Optically Stimulated Luminescence (OSL) Dating
chromatix
Differentiable wave optics using JAX! Documentation can be found at https://chromatix.readthedocs.io
3d-powergrid-inspection
This repository contains the code developed for my MSc project titled "Exploring Photogrammetry for High-Fidelity 3D Model Generation: A Power Grid Inspection Study", as well as some of the results. The thesis was written in collaboration with SINTEF, and the degree issued by DTU. The full thesis can be downloaded from the below link.
hazardous-orienteering-problem
Code and instances for the Hazardous Orienteering Problem
shanqar
ShaNQar (Simulator of Network Quantique) is a photonic quantum network simulator.
pythonpaperghdistancesspheres
Python code to check some inequalities from the proof of d(S^3,S^4) computationally
ptpc
An algorithm for enumerating the minimum weight codewords of pre-transformed polar codes.
spinacc
A spinup acceleration procedure for land surface models (LSM) . Developer team Mandresy Rasolonjatovo, Tianzhang Cai, Matthew Archer, Daniel Goll
washu_ris_tools
Dockerfiles and documentation for use with the WashU RIS Compute platform
directed-information-estimation-for-markov-chains
This R package is dedicated to estimate transfer entropy for a certain class of markov processes
batch-processing-multimodality-tumour-imaging
This code is designed to help simplify the processing (co-registration, 2D and 3D (semi-automatic) segmentation, and quantification) of longitudinally collected 2D and 3D imaging data. The code was originally intended for processing of Provided 2D
ml-techniques-for-mri-feature-based-detection-of-ftd
Code repository for Machine Learning Techniques for MRI Feature-Based Detection of Frontotemporal Lobar Degeneration
ar7-wg1-fod-ch99-fig99
As TSU. Try to build repositories with the data and incorporate the metadata required by the data centre.
url-build-parse
`url-build-parse` provides the ability to parse URL from string as well as construct URL from parts.
zc_series
Dataset and code for Trade-offs in telemetry tag programming for deep-diving cetaceans: data longevity, resolution, and continuity
NumericalSVD
Repository for the implementations of the algorithms and numerical tests presented in my thesis.
lmd-sizing-scheduling
Code, instances, results and scripts for the paper "Tactical workforce sizing and scheduling decisions for last-mile delivery"
scene_labeling
Compute annotations for a given image that account for spatial relationships in the final summaries
dash_doodler
Doodler. A web application built with plotly/dash for image segmentation with minimal supervision. Plays nicely with segmentation gym, https://github.com/Doodleverse/segmentation_gym
minimal-text-diffusion
A minimal implementation of diffusion models for text generation
stb-vmm
STB-VMM: Swin Transformer Based Video Motion Magnification (official repository)
puzzlepiece
A GUI-forward Python framework for automating experimental setups.
tnpa-generalizability
IST'21 & SANER'22: Semantic-Preserving Program Transformations
poster-annotation-tool
Graduation project, a poster annotation tool for poster layout generation.
device-gateway
Device Gateway: Translates OpenQASM3 instructions into commands compatible with various quantum control software platforms.
explainable_heart_disease_prediction_using_ensemble-quantum_ml
An ensemble machine learning model based on quantum machine learning classifiers is proposed to predict the risk of heart disease. The proposed model is a bagging ensemble learning model where Quantum Support Vector Classifier is used as the base classifier. Furthermore, in order to make the model's outcomes more explainable, the importance of every single feature in the prediction is computed and visualized using SHapley Additive exPlanations (SHAP) framework. In the experimental study, other stand-alone quantum classifiers, namely, Quantum Support Vector Classifier (QSVC), Quantum Neural Network (QNN), and Variational Quantum Classifier (VQC) were applied and compared with classical machine learning classifiers such as Support Vector Classifier (SVC), and Artificial Neural Network (ANN).
jsquest
A Bayesian adaptive psychometric method for measuring thresholds in online experiments.
vtserver
A voice transformation server to manipulate sound files for online experiments
stockprime
An inventory management system pointed towards small companies that suffer with logistics. Written with JavaScript through the Node.js ecosystem and data backed with MongoDB.
bso-toolbox
C++ software toolbox to support building spatial design optimization developed at the Eindhoven University of Technology
igor-pro-tools
This repository contains tools for off-line processing of electrophysiological data acquired with Igor Pro.
smirk
SMIRK is an experimental pedestrian emergency breaking ADAS facilitating research on quality assurance of critical components that rely on machine learning.
binning_wf
Pipeline to bin metagenomes into high-quality metagenomic-assembled genomes using DAGman and HTCondor.
bachduet-webgui
A Web Application for Baroque-style Human/Computer Musical Jamming.
aortafsi
An OpenFOAM's case to model a aorta using FSI-solids4foam and STL file with cfMesh.