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.
Agent4Edu: Generating Learner Response Data by LLM-based Agents for Intelligent Education Systems (AAAI 2025)
[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
🧠 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.
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
Simulate data for simple experimental designs using the R package faux (https://github.com/debruine/faux/).
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.
Optimising bike supply resources in Seoul's bike sharing system. (Analyses and Recommendations)
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