All Projects → ropensci → Reproducibility Guide

ropensci / Reproducibility Guide

project page for creating a guide to reproducible research

Projects that are alternatives of or similar to Reproducibility Guide

Enmf
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.
Stars: ✭ 96 (-17.24%)
Mutual labels:  reproducible-research, reproducibility
Awesome Reproducible Research
A curated list of reproducible research case studies, projects, tutorials, and media
Stars: ✭ 106 (-8.62%)
Mutual labels:  reproducible-research, reproducibility
Targets
Function-oriented Make-like declarative workflows for R
Stars: ✭ 293 (+152.59%)
Mutual labels:  reproducible-research, reproducibility
r10e-ds-py
Reproducible Data Science in Python (SciPy 2019 Tutorial)
Stars: ✭ 12 (-89.66%)
Mutual labels:  reproducible-research, reproducibility
Recsys2019 deeplearning evaluation
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.
Stars: ✭ 780 (+572.41%)
Mutual labels:  reproducible-research, reproducibility
reprozip-examples
Examples and demos for ReproZip
Stars: ✭ 13 (-88.79%)
Mutual labels:  reproducible-research, reproducibility
Gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
Stars: ✭ 450 (+287.93%)
Mutual labels:  reproducible-research, reproducibility
ReproducibleScience
Short course on reproducible science: what, why, how
Stars: ✭ 23 (-80.17%)
Mutual labels:  reproducible-research, reproducibility
Drake
An R-focused pipeline toolkit for reproducibility and high-performance computing
Stars: ✭ 1,301 (+1021.55%)
Mutual labels:  reproducible-research, reproducibility
Labnotebook
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Stars: ✭ 526 (+353.45%)
Mutual labels:  reproducible-research, reproducibility
reproducible
A set of tools for R that enhance reproducibility beyond package management
Stars: ✭ 33 (-71.55%)
Mutual labels:  reproducible-research, reproducibility
Evalai
☁️ 🚀 📊 📈 Evaluating state of the art in AI
Stars: ✭ 1,087 (+837.07%)
Mutual labels:  reproducible-research, reproducibility
Reproducibilty-Challenge-ECANET
Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.
Stars: ✭ 27 (-76.72%)
Mutual labels:  reproducible-research, reproducibility
papers-as-modules
Software Papers as Software Modules: Towards a Culture of Reusable Results
Stars: ✭ 18 (-84.48%)
Mutual labels:  reproducible-research, reproducibility
researchcompendium
NOTE: This repo is archived. Please see https://github.com/benmarwick/rrtools for my current approach
Stars: ✭ 26 (-77.59%)
Mutual labels:  reproducible-research, reproducibility
Sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Stars: ✭ 3,678 (+3070.69%)
Mutual labels:  reproducible-research, reproducibility
targets-minimal
A minimal example data analysis project with the targets R package
Stars: ✭ 50 (-56.9%)
Mutual labels:  reproducible-research, reproducibility
open-solution-googleai-object-detection
Open solution to the Google AI Object Detection Challenge 🍁
Stars: ✭ 46 (-60.34%)
Mutual labels:  reproducible-research, reproducibility
Rrtools
rrtools: Tools for Writing Reproducible Research in R
Stars: ✭ 508 (+337.93%)
Mutual labels:  reproducible-research, reproducibility
Steppy Toolkit
Curated set of transformers that make your work with steppy faster and more effective 🔭
Stars: ✭ 21 (-81.9%)
Mutual labels:  reproducible-research, reproducibility

reproducibility-guide

This is the project page for creating a guide to reproducible research. The purpose is to be a quick references for best practices in making scientific research accessible and reproducible.

Ideas for the guide came https://github.com/ropensci/hackathon/issues/22 and https://github.com/mozillascience/code-research-object/issues/2.

The guide will be presented as a website, prototype is housed here: http://ropensci.github.io/reproducibility-guide/.

If you think you can help in anyway, awesome. Feel free to create issues with your ideas. Feedback is welcome and appreciated.

rOpenSci Hackathon

Slack Channel: #reproducibility-guide

Cite the guide (BibTex):

@misc{repro-guide,
title={{Reproducibility in Science: A Guide to enhancing reproducibility in scientific results and writing}},
howpublished="\url{http://ropensci.github.io/reproducibility-guide/}"
}
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].