Reproducible Research
Showing 10 of 82 projects
A GitHub Action to build and push Jupyter-enabled Docker images from data science repositories using repo2docker.
Course materials for UCLA's STATS 418 - Tools in Data Science covering R packages, machine learning libraries, databases, and reproducibility tools.
A lightweight Python library for building reproducible machine learning pipelines with minimal interface constraints.
An R package that extends knitr to provide flexible control over working directories and output paths when generating dynamic reports.
A curated collection of Nix resources for high-performance computing environments, including package sets, tutorials, and documentation.
A research project investigating how packers affect the accuracy of static machine-learning malware classifiers.
A daily blog sharing practical Quarto tips for 30 days leading up to the rstudio::conf(2022) keynote.
A pre-configured Docker image with deep learning frameworks, data science tools, and GPU support for rapid environment setup.
A Visual Studio Code extension for managing Quarto extensions, templates, and brands from multiple sources.
A GitHub Action that executes parameterized Jupyter notebooks using Papermill and uploads outputs as artifacts.
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