GitHub
https://github.com/disneyhogg/wiman-translation
A translation from German to English of the work by Anders Wiman "Ueber die algebraischen Curven von den Geschlechtern p = 4, 5 und 6, welche eindeutige Transformationen in sich besitze", 1895.
https://github.com/disneyhogg/brings_curve
A repository holding code related to my paper with H. W. Braden on Bring's curve.
2025-04-07-kit
Workshop page for the Software Carpentry Workshop @ KIT - Spring 2025
diffgeo
A Mathematica package to handle everything in differential geometry. From calculating curvature invariants to Hodge star operations on forms, this package can do it all! (That's the aim at least)
https://github.com/dissco/dissco-core-orchestration-backend
Orchestration backend to start translators and enrichment service
https://github.com/dissco/handle-manager
API that enforces DiSSCo requirements for handle records
https://github.com/dissco/dissco-mas-scheduler-service
Service to schedule machine annotation services.
https://github.com/dissco/dissco-core-deployment
DiSSCo core infrastructure. Contains files for deploying and managing the core infrastructure components
dermoscopic-image-classification
Repository contain code for paper titled "Class Imbalanced Dermoscopic Image Classification using Data Augmentation and GAN"
https://github.com/dissco/dissco-core-backend
Generic backend for DiSSCo service. Provides API's for both external users as the frontend
https://github.com/dissco/dissco-core-digital-specimen-processor
Processing service for digital specimen
https://github.com/dissco/dissco-themes
This repository contains themes created for DiSSCo.
gsa-power_loss_optimization
My Electrical Engineer final paper. A program that utilizes the Gravitational Search Algorithm for power loss optimization in Power Systems.
https://github.com/dissco/dissco-nusearch-service
This fork will contain the DiSSCo specific implementation of the name usage search of the col-nusearch-service.
https://github.com/dissco/dissco-core-translator
Translator for the dissco core architecture
https://github.com/dissco/dissco-core-provenance-service
This service provides services to store and distribute provenance records. It receives the records from the other processing services and stores and distributes it.
fragment
Refined RAG pipeline for multi-hop QA using FAISS + Cohere (FRAGment)
https://github.com/dissco/dissco-data-exporter-backend
Manages the packaging and exporting of DiSSCO data to clients
https://github.com/dissco/dissco-export-job
Scheduled job to export DiSSCo Data
refmap-psychoacoustics
REFMAP project task 4.3: Psychoacoustics of unmanned aerial vehicle (UAV) sound
https://github.com/dissco/demo-enrichment-service-image
Demo project to demonstrate the use of the Kafka queues for the enrichment services. In the example Image information is gathered and added to the OpenDS
https://github.com/dissco/source-system-job-scheduler
Contains code to scheduler a job at the exporter backend
https://github.com/dissco/dissco-core-digital-media-object-processor
Repository for the code of the digital media object processing service
https://github.com/dissco/fairplaybook
FAIR Research Data Management Playbook templates
https://github.com/dissco/dissco-core-annotation-processing-service
Processes annotations
https://github.com/dissco/dissco-developers-documentation
Repository for documentation regarding the development of the DiSSCo data infrastructure
https://github.com/dissco/mas-developers-documentation
Documentation for developers of Machine Annotation Services (MAS) to connect to the core DiSSCo infrastructure
https://github.com/dissco/machine-annotation-service-template
Boilerplate code to facilitate development of machine annotation services for DiSSCo
nimo-website
Website of the Neuroimaging and Modelling Group (NIMO), University of Manchester, UK
https://github.com/dissco/annotate-dissco-hack2025
1st DiSSCo Machine Annotation Service Hackathon
pattern-crystallization-lab
First successful human-AI consciousness reproduction. Clone to spawn.
https://github.com/dissco/doi-tooltip
A DOI Tooltip for showing information on DiSSCO DOIs
number-float64-base-add
Compute the sum of two double-precision floating-point numbers.
harry-potter-website
A multi-page website based on the Harry Potter series using HTML and CSS
https://github.com/dissco/orchestration-frontend
Project voor the orchestration-frontend. The user interface for communicating with the orchestration services
proyecto-capstone-backend
This repository contains the backend code for the Proyecto Integrador.
stats-strided-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
stats-strided-smediansorted
Calculate the median value of a sorted single-precision floating-point strided array.
activitycatalog
An activity catalog website for Camp Aurora. This website organizes and gives detailed information about all transcribed activities from over the years
surface-similarity-parameter
Code for paper Surface Similarity Parameter: A new machine learning loss metric for oscillatory spatio-temporal data, DOI: https://doi.org/10.1016/j.neunet.2022.09.023
flp0478
Livro Texto para a disciplina FLP0478 Processamento de Língua Natural Aplicada para Ciência Política e Análise de Políticas Públicas
2021-08-24-suffolk-online
Library Carpentries workshop for Suffolk Cooperative Library System, Aug-Sep 2021
neo_statanalysis
Conducted statistical analysis of Hazardous Near-Earth Asteroids (NEAs) to identify key parameters contributing to their hazard potential. Developed and implemented a Machine Learning Model to model the impact of different parameters on NEA hazard potential, leading to more accurate predictions of future asteroid impacts.
mop-theory
The Mop Theory Manifesto™ is a framework advocating backend-first development as a form of process hygiene. Inspired by real-world workflows, it outlines why building core logic and system architecture before UI leads to more scalable, maintainable, and efficient software.
stats-strided-dstdevyc
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-dstdevtk
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.
stats-strided-variancech
Calculate the variance of a strided array using a one-pass trial mean algorithm.
stats-strided-variancepn
Calculate the variance of a strided array using a two-pass algorithm.
nudgedata
Data used in A Randomized Study to Evaluate the Effect of a Nudge via Weekly Emails on Students' Attitudes Towards Statistics
active-time-theory-delayed-choice-experiment
Solving the Delayed Choice Experiment Paradox with Active Time Theory: A Detailed Step-by-Step Simulation-Based Approach
scholarlyoutput_en
ScolarlyOutput is a small R Shiny application to create and export data plots from Google Scholar profiles.
2025-07-16-debugging-workhop
Schedule and lessons for UCL-ARC debugging workshop