A Numerical Magnetic Resonance Imaging (MRI) Simulation Platform

Quantitative MRI Made Easy with qMRLab: MRI software for data Simulation, analysis and visualization

Generic IoT data simulator. Provides possibility to replay datasets or generates data on fly. Supports various IoT platforms out of the box.

simstudy: Illuminating research methods through data generation

Foundational tools for BCG X's data science packages.

🧠 Model-Driven test data generation platform enabling developers to create realistic, scalable, and privacy-compliant test data. Features model-driven data generation, GDPR compliance, and seamless Python integration.

[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.

Cryptocurrency reddit sentiment analysis application.

Generate simulated illumina sequence reads from a reference sequence

Generate simulated oxford nanopore reads from a reference sequence

A program that simulates answers given by a crowd to multiple choice questions with either a single or multiple answers correct, and writes it to a CSV

Software to simulate compendium-wide gene expression data using a VAE.

Generate synthetic longitudinal correlated data using distributions and correlations from real-world observational data

🧩 Solution for simulating sim cards and logging data

Optimising bike supply resources in Seoul's bike sharing system. (Analyses and Recommendations)

Simulate genomic variation, based on input reference genomes

A CLI for loading simulated data into any database using DBIx::Class plugins Schema::Loader and Sims

The code simulates the movement of birds between various stations, generating data points for each visit, including the station visited, exact (slightly perturbed) coordinates, and a timestamp. This data is stored in a GeoDataFrame that can be used for spatial analysis and visualization.