311 Open source projects that are alternatives of or similar to ReproducibleScience

Reproducible Science: what, why, how

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

A curated list of reproducible research case studies, projects, tutorials, and media

Examples and demos for ReproZip

ukbREST: efficient and streamlined data access for reproducible research of large biobanks

rrtools: Tools for Writing Reproducible Research in R

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

NOTE: This repo is archived. Please see https://github.com/benmarwick/rrtools for my current approach

Software Papers as Software Modules: Towards a Culture of Reusable Results

Reproducible Data Science in Python (SciPy 2019 Tutorial)

🐳 Containerize R Markdown documents for continuous reproducibility

Render bits of R code for sharing, e.g., on GitHub or StackOverflow.

Rmarkdown templates for reproducible science

Papers with code for single cell related papers

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

List of resources for learning R

A set of tools for R that enhance reproducibility beyond package management

An R Pandoc Writer: Convert arbitrary R objects into markdown

Function-oriented Make-like declarative workflows for R

papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Source code for the CERN Analysis Preservation portal

Presentation-Ready Data Summary and Analytic Result Tables

Curated set of transformers that make your work with steppy faster and more effective 🔭

A minimal example data analysis project with the targets R package

Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!

VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these products and their executions.

Workflow Description Language - Specification and Implementations

Empirical Software Engineering journal (EMSE) open science and reproducible research initiative

Data Analysis Workflows & Reproducibility Learning Resources

A pipeline for preprocessing NGS data from Illumina, Nanopore and PacBio technologies

🔬 Empirical CLI

Pythonic functions for creating and enhancing Hydra applications

Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing

Future Gadget Machine

Everware is about re-useable science, it allows people to jump right in to your research code.

Open solution to the Google AI Object Detection Challenge 🍁

Fully reproducible, open source scientific articles in LaTeX.

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Short course on the targets R package

Package an R workspace and all dependencies as a Docker container

Reproducible Research with Rmarkdown: data management, analysis, and reporting all-in-one

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

A DSL for data-driven computational pipelines

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

An R-focused pipeline toolkit for reproducibility and high-performance computing

Lightweight, Python library for fast and reproducible experimentation 🔬

project page for creating a guide to reproducible research

Example workflows for the drake R package

Coding Standards for the USC Biostats group

creating optimal conditions for reproducibility

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Future Gadget Laboratory

⛔ ARCHIVED ⛔

Deploy a BinderHub from scratch on Microsoft Azure

Extra-strength glue engines for R Markdown and Quarto

my Linux Configuration

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

RMarkdown Templates for UIUC Theme-Oriented Documents

Experiments logging & visualization