GitHub
mind_the_gaps
Gaussian Process time series analysis with focus on period detection on irregularly-sampled stochastically-varying astronomical time series
rholearn
Learning and predicting electronic densities decomposed on a basis and global electronic densities of states at DFT accuracy
intapplicationproject-template
Template do Projeto do Eixo 2 - Desenvolvimento de uma Aplicação Interativa
fortran_dnn_from_tf
Barebones method of implementing a pre-trained DNN from TensorFlow in a Fortran script.
@stdlib/random-strided-mt19937
Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
biobb_wf_cmip
This tutorial aims to illustrate the process of computing classical molecular interaction potentials from protein structures, step by step, using the BioExcel Building Blocks library (biobb).
biobb_wf_amber
This tutorials aim to illustrate the process of setting up a simulation system containing a protein, step by step, using the BioExcel Building Blocks library (biobb) wrapping the Ambertools MD package.
scantec
Sistema Comunitário de Avaliação de modelos Numéricos de Tempo e Clima (SCANTEC)
motionaura-iclr-2025
Official source code of "MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion", published in ICLR 2025
biobb_wf_dna_helparms
This tutorial aims to illustrate the process of extracting structural and dynamical properties from a DNA MD trajectory helical parameters, step by step, using the BioExcel Building Blocks library (biobb).
biobb_wf_flexdyn
This tutorial aims to illustrate the process of generating protein conformational ensembles from 3D structures and analysing its molecular flexibility, step by step, using the BioExcel Building Blocks library (biobb).
biobb_wf_ligand_parameterization
This tutorial aims to illustrate the process of ligand parameterization for a small molecule, step by step, using the BioExcel Building Blocks library (biobb).
biobb_wf_godmd
This tutorial aims to illustrate the process of computing a conformational transition between two known structural conformations of a protein, step by step, using the BioExcel Building Blocks library (biobb).
biobb_wf_protein-complex_md_setup
This tutorial aims to illustrate the process of setting up a simulation system containing a protein in complex with a ligand, step by step, using the BioExcel Building Blocks library (biobb).
reconstruct100carndsdata
This repository reconstructs bird's eye view trajectories of vehicles involved in crashes and near-crashes from 100-Car Naturalistic Driving Study (NDS) radar data.
biobb_wf_md_setup
This tutorial aims to illustrate the process of setting up a simulation system containing a protein, step by step, using the BioExcel Building Blocks library (biobb).
bayesian-networks-f1-project
Code repository for Year 5 Undergraduate Project for Masters of Mathematics: "Bayesian Networks in Formula One Race Strategy"
pmv-ads-2023-1-e1-proj-web-t9-time3-projremediosolidario
pmv-ads-2023-1-e1-proj-web-t9-time3-projremediosolidario created by GitHub Classroom
pycoeus
python toolkit for exploratory and iterative segmentation of geo raster data
topical-sirna-therapy-1
Functional and biocompatible wound dressing developed to enable a controlled release of a traceable vector loaded with the antisense siRNA against MMP-9 in the wound
statistical-maze-jspsych
Code for the statistical maze task written in jsPsych 7.
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.