GitHub
data-registry
The FAIR Data Registry is a Django website and REST API which is used by the FAIR Data Pipeline to store metadata about code runs and their inputs and outputs
dissmapr-test1
R package to analyse compositional dissimilarity and biodiversity turnover
leaflet-dataclassification
Single-step data classification, symbology and legend creation for GeoJSON data powered thematic maps
nmrkit
A collection of powerful micro services designed to simplify your NMR data processing and analysis
programacio
Repository dedicated to save and share material of the subject Programació (I & II) taught in Computer Engineering at UIB.
international-survey
International collaboration on RSE survey. Contact: @SimonHettrick
epylabel
This repository contains the code for the manuscript Ensemble-labeling of infectious diseases time series to evaluate early warning systems with which you can reproduce the manuscript's results and figures.
zenodo-gha
A GitHub Action to create a release on Zenodo when a GitHub release is published.
pbe-si-ads-2024-2-tiaw-t1-pbe-si-ads-2024-2-tiaw-t1-flash-cards
icei-puc-minas-pbe-ads-si-2024-2-pbe-si-ads-2024-2-tiaw-ti1-template created by GitHub Classroom
fastqtogenecounts
This is an automated pipeline to map SRR files to gene counts
mafmine_mms
Web application for selecting mining methods based on geological parameters, using methodologies like Nicholas 1981, 1992, UBC, and Sh&B. Supports quick technical and economic evaluations with geomechanical classification tools. Built with JavaScript, HTML5, and CSS3, without frameworks.
llmswitcher
Routes to the most performant and cost efficient LLM based on your prompt [ 🚧 WIP ]
ouvrai
Create and run interactive behavioral experiments on the web, including VR studies, for free!
janus-llm
Leveraging LLMs for modernization through intelligent chunking, iterative prompting and reflection, and retrieval augmented generation (RAG).
jkidatacubedemo
Thed project demonstrates how to retrieve georaster data time series from the JKI Datecube via OGC webservices (WCS and WCPS) using Python.
pbr-si-ads-2023-2-p1-tiaw-g6-tech-sustentavel
pbr-si-ads-2023-2-p1-tiaw-g6-echo-tech created by GitHub Classroom
workshop2024-lesson-cms-detector
CMS Open Data Workshop 2024 pre-exercise for the CMS detector
jupyter-tutorial-de
Schulungsmaterialen für den Aufbau und die Nutzung einer Forschungsinfrastruktur auf Basis von Jupyter Notebooks: https://cusy.io/de/seminare
jupyter-tutorial
Training materials for setting up and using a research infrastructure based on Jupyter notebooks: https://cusy.io/en/seminars
generate-a-corpus-with-an-llm
The notebook in this repository is provided for students in DIGI405 at the University of Canterbury to query a Large Language Model (LLM) to generate a corpus. Students can adapt the code to generate their own data for an assignment.
@stdlib/array-base-quinary4d
Apply a quinary callback to elements in five four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
semcloud
R package to process token-level clouds and get them ready for NephoVis
observatorium_serologischer_studien_zu_sars-cov-2_in_deutschland
Die seit 2019 auftretende Infektionskrankheit COVID-19, hervorgerufen durch das neuartige SARS-CoV-2-Virus, führte zu gesundheitspolitischen und gesamtgesellschaftlichen Herausforderungen. Um geeignete Maßnahmen zur Eindämmung der Pandemie ergreifen zu können und neue Erkenntnisse über die Pandemie zu gewinnen, gibt es vermehrt Forschungsbedarfe zu COVID-19. Ein Ansatzpunkt hierfür sind die gewonnenen Blutproben von infizierten sowie von nicht infizierten Personen, die in Laboren auf Antikörper gegen das SARS-CoV-2-Virus getestet und analysiert werden. Sie geben Aufschluss über den Anteil der Bevölkerung, der bereits eine Infektion mit SARS-CoV-2 durchgemacht hat, und schließen dabei nicht erkannte Infektionen (Untererfassung) ein.<br/>Das Projekt 'Observatorium serologischer Studien zu SARS-CoV-2 in Deutschland' (SERO-OBS Corona) gibt eine Übersicht zu Antikörper-Studien (sogenannte seroepidemiologische Studien) in Deutschland. Die seroepidemiologischen Studien basieren auf Blutproben von Bürgerinnen und Bürgern, die zu unterschiedlichen Zeitpunkten der Pandemie auf Antikörper gegen das SARS-CoV-2-Virus getestet wurden. Dabei sollen z. B. folgende Fragen beantwortet werden: Wie ist die Häufigkeit von SARS-CoV-2-Infektionen in verschiedenen Bevölkerungsgruppen? Wie hoch ist der Untererfassungsfaktor, der zeigt, wie viel Mal mehr Infektionen im Vergleich zu den bislang bekannten (gemeldeten) Fällen aufgetreten sind? In dem vorliegenden Projekt werden in Deutschland durchgeführte seroepidemiologische Studien zu SARS-CoV-2 seit dem Frühjahr 2020 über systematische Recherchen in Studienregistern, Literaturdatenbanken einschließlich Vorveröffentlichungen sowie Medienberichten fortlaufend identifizier und Studieninformationen sowie Ergebnisübersichten verfügbar gemacht.
word2doc2vec-doc-relevance
An approach exploring and assessing literature-based doc-2-doc recommendations using word2vec combined with doc2vec, and applying it to TREC and RELISH datasets
convert_oct_files_to_tif
A script that uses python and ImageJ to convert .OCT files into .TIF and .AVI files, crops them to only include the retina, renames them to the user's specifications, and enhances contrast.
maxvogt
Showcasing railway station design and spatial syntax features | Project for Spatial Humanities 2024 at University of Bamberg
individual-cmfs
Generate CMFs from individual variations in cone lambda max, and cone, lens and macular optical densities.
storysite
The "story site" for the K4BL digital edition, based on the CollectionBuilder CSV template.
flosssearch
Welcome to floss search.Edu Support in the process of choosing open source projects.
https://github.com/arkokupski-wat/emergent_gravity
The model offers a unified explanation for the origin of gravity, the existence of mass, and matter-antimatter asymmetry, suggesting they are manifestations of higher-dimensional geometry.
bots-and-cas-for-se-mlr-onlineappendix
This is the online appendix for the Multivocal Literature Review titled Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review.
awe-se
A systems engineering framework for system design of airborne wind energy.
lang-nno-x-ext-apertium
Finite state and Constraint Grammar based analysers and proofing tools, and language resources for the Norwegian Nynorsk language
naturalisation-trends-germany-insights
This project explores naturalization trends in Germany from 2010 to 2022 using data from the official source (www-genesis.destatis.de). The goal of this analysis is to gain insight into the cultural diversity and integration of naturalized citizens in Germany.
bpa-cost-of-growth
Paper - Endocrine disruption from plastic pollution and warming interact to increase the energetic cost of growth in a fish
environment-marker
A browser WebExtension that adds a color marker (ribbon) to the page depending if the URL contains a given string.
https://github.com/arm-synergy/land-atmosphere-interaction
Land atmosphere interaction group project from the 2025 ARM Summer School
learning-heavily-degraded-prior
This repo is the official implementation of 'Learning Heavily-Degraded Prior for Underwater Object Detection'.
wqd7002_leevoonhee
Predicting Fatality in Road Traffic Accidents With Machine Learning: A Period-Over-Period Comparison
pes2mp-ipython
2D and 4D multipole expansion code (using Legendre polynomials and Spherical Harmonics respectively) for fitting PES into radial coefficients.
xai_lightningprocesses
Source code belonging to the paper "Identifying Lightning Processes in ERA5 Soundings with Deep Learning"
mind-the-qapp
An Application for Visualizing the Crux in Quantum Machine Learning
atlas-farmacia
Medición de las variaciones en el consumo de Antibióticos/Opioides por Zona Básica de Salud
@stdlib/random-iter-randn
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.
pediatric-wrist-abnormality-detection-system
A repository for an automated system using object detection and machine learning techniques to diagnose wrist abnormalities in children, adolescents, and young adults, providing high accuracy and precision in diagnosis through a user-friendly mobile application.