Updated 9 months ago

https://github.com/capt-lappland/viamd • Science 13%

Visual Interactive Analysis of Molecular Dynamics

Updated 10 months ago

patchmax • Science 44%

A spatial selection optimization algorithm in ForSysR

Updated 10 months ago

stats-strided-svariancetk • Science 57%

Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.

Updated 9 months ago

https://github.com/bienflorencia/rda-sharc-survey • Science 36%

Sharing Rewards and Credit (SHARC) OS survey

Updated 10 months ago

uploadcastor • Science 31%

Updated 10 months ago

ddb_tagger • Science 44%

A thesaurus based semantic tagger for Danish texts

Updated 9 months ago

SparseGridsKit.jl: Adaptive single- and multi-fidelity sparse grid approximation in Julia • Science 93%

SparseGridsKit.jl: Adaptive single- and multi-fidelity sparse grid approximation in Julia - Published in JOSS (2025)

Updated 10 months ago

zaira-chem • Science 67%

Automated QSAR based on multiple small molecule descriptors

Updated 9 months ago

https://github.com/captaincodercool/blockchain-based-voting-system • Science 26%

A secure, transparent voting platform using Ethereum and Solidity. Features React frontend, Node.js backend, MongoDB for data, ensuring tamper-proof voting and voter anonymity. Revolutionizes fair and verifiable electoral processes.

Updated 10 months ago

sgp • Science 67%

Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.

Updated 10 months ago

qc.covid_data • Science 54%

This repository contains two databases (daily and weekly) on the management of the COVID-19 pandemic in Quebec. The data were collected/produced by the research team of Prof. Éric Montpetit as part of a research project on the public policies implemented during the pandemic.

Updated 10 months ago

pire_fq_gz_processing • Science 75%

Pre-Processing PIRE Data

Updated 10 months ago

donation-flask • Science 67%