Reproducible Research
Showing 34 of 106 projects
Open-source implementation of the winning solution for the 2018 Data Science Bowl Kaggle competition using PyTorch and U-Net.
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.
A Home Assistant add-on that runs JupyterLab for creating documents with live code, equations, and visualizations.
A graduate-level course website for program evaluation and causal inference using R, built with Quarto and a reproducible {targets} pipeline.
An open-source pipeline for high-throughput, non-invasive extraction of phenotypic traits from plant images using deep learning.
A web app, CLI tool, and library for validating Brain Imaging Data Structure (BIDS) compliance.
An open-source solution for the Google AI Open Images Object Detection Challenge, providing a RetinaNet-based benchmark with experiment tracking.
A personal data science and machine learning website built with Quarto, tidyverse, and tidymodels.
An MCP server that enables natural language conversation for analyzing spatial transcriptomics data through 60+ curated methods.
A Python library providing tools to process and analyze OMOP-standardized clinical data from AP-HP's Clinical Data Warehouse.
Provides Lua/Torch bindings for the Randomkit library, enabling random number generation from various statistical distributions.
A curated collection of neuroscience, data science, and open science resources, tools, and AI productivity aids for researchers.
Convert Observable HQ notebooks into Quarto projects, preserving content and file attachments.
Reproducible Rmarkdown notes and analyses from the MIT edX course 'The Analytics Edge'.
R Markdown source code for xaringan-based presentation slides with experimental components.
A curated collection of transformers to accelerate and enhance machine learning experimentation with the Steppy library.
A Jupyter Notebook extension for managing and optimizing Python dependencies directly within notebooks.
Quarto is an open-source scientific and technical publishing system for creating documents with R, Python, Julia, and Observable.
R code to build and plot 150 cosponsorship networks from legislative activity in 27 European parliamentary chambers.
A Julia interface to the Quarto CLI for programmatic document generation and publishing.
A MATLAB/Octave implementation of the clugen algorithm for generating multidimensional clusters with arbitrary distributions.
A LaTeX compilation system for scientific manuscripts with automatic versioning, diff generation, and AI agent integration via MCP.
A Python library for comprehensive machine learning model evaluation with plots, reports, experiment tracking, and notebook analysis.
A JupyterLab extension that enables publishing notebooks directly to Kyso for sharing and collaboration.
A GitHub Action to set up conda environments using Miniconda, Miniforge, or custom installers for CI/CD workflows.
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