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 Python library providing tools to process and analyze OMOP-standardized clinical data from AP-HP's Clinical Data Warehouse.
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.
Provides Lua/Torch bindings for the Randomkit library, enabling random number generation from various statistical distributions.
Convert Observable HQ notebooks into Quarto projects, preserving content and file attachments.
A curated collection of neuroscience, data science, and open science resources, tools, and AI productivity aids for researchers.
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 Python library for comprehensive machine learning model evaluation with plots, reports, experiment tracking, and notebook analysis.
A LaTeX compilation system for scientific manuscripts with automatic versioning, diff generation, and AI agent integration via MCP.
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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