195 Open source projects that are alternatives of or similar to Reproducibility Guide

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.

Example workflows for the drake R package

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

Open solution to the Google AI Object Detection Challenge 🍁

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

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

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

rrtools: Tools for Writing Reproducible Research in R

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

Coding Standards for the USC Biostats group

Reproducible Data Science in Python (SciPy 2019 Tutorial)

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

Deploy a BinderHub from scratch on Microsoft Azure

Short course on the targets R package

Presentation-Ready Data Summary and Analytic Result Tables

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.

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

Short course on reproducible science: what, why, how

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

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Lightweight, Python library for fast and reproducible experimentation 🔬

⛔ ARCHIVED ⛔

creating optimal conditions for reproducibility

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

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

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

A minimal example data analysis project with the targets R package

Examples and demos for ReproZip

Function-oriented Make-like declarative workflows for R

An R package for storing and retrieving data.frames in git repositories.

Catalyst.Segmentation

Shared artifacts in the Collective Knowledge Format as a proof-of-concept to reproduce our recent Collective Mind- and Collective Knowledge-related papers

A DSL for data-driven computational pipelines

R package to interface with OpenML

MEX Vocabulary: a lightweight machine learning interchange format

a research software; a fun way of storing files & folders on your local disk drive; tagging

Statistical Analysis of RNA-Seq Tools

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

R Package 📦 for initializing projects for various R activities 🔩

R Package - A graphical user interface for some of the main functions of Ben Marwick's rrtools package

Express parametrable, composable and portable data pipelines

This is the development home of the workflow management system Snakemake. For general information, see

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Scientific reports/literate programming for Julia

A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker

A toolkit for reproducible reinforcement learning research.

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

Collection of popular and reproducible image denoising works.

Nozzle is a report generation toolkit for data analysis pipelines implemented in R.

A research tool for the Iterated Prisoner's Dilemma

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.

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

🚀 Build and manage real-life data science projects with ease!

Workflow Description Language - Specification and Implementations

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

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.

Effortless method to record provenance in Python

Cookbook examples for the Insight Toolkit documented with Sphinx