simstudy: Illuminating research methods through data generation
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Updated
Jul 29, 2024 - R
simstudy: Illuminating research methods through data generation
Foundational tools for BCG X's data science packages.
[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
Code for JDST 2023 paper: "Simulating Realistic Continuous Glucose Monitor Time Series By Data Augmentation" by L.Gomez, A.Toye, R.Hum and S.Kleinberg
Quantitative MRI Made Easy with qMRLab: MRI software for data Simulation, analysis and visualization
Создание синтетического датасета на основе cимуляции свойств физики SEM
Generate synthetic longitudinal correlated data using distributions and correlations from real-world observational data
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.
Generate simulated oxford nanopore reads from a reference sequence
Generate simulated illumina sequence reads from a reference sequence
A sample database with a random data model and automatic reporting. (PL doc)
An application for randomly generating telecommunication payments.
Combo of esbuild, deck.gl... to develop/build quickly + easily WebGL-based large-scale data visualizations in canvas bundles. Minified bundles can be easily embedded on a website - Demo:
The aim of this project is to create a simulated data set by simulating a real-world phenomenon. I chose to investigate the sporting phenomenon of "home advantage". (Programming for Data Analysis module)
Cryptocurrency reddit sentiment analysis application.
Code for reproducing my thesis results.
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