201 Open source projects that are alternatives of or similar to r10e-ds-py

rrtools: Tools for Writing Reproducible Research in R

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

Examples and demos for ReproZip

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

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

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

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

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

Pythonic functions for creating and enhancing Hydra applications

Open solution to the Google AI Object Detection Challenge 🍁

Future Gadget Machine

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.

⛔ ARCHIVED ⛔

Workflow Description Language - Specification and Implementations

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

A minimal example data analysis project with the targets R package

🔬 Empirical CLI

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Function-oriented Make-like declarative workflows for R

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

Example workflows for the drake R package

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

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

project page for creating a guide to reproducible research

Fully reproducible, open source scientific articles in LaTeX.

creating optimal conditions for reproducibility

Future Gadget Laboratory

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

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

Package an R workspace and all dependencies as a Docker container

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

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.

🐳 Containerize R Markdown documents for continuous reproducibility

Presentation-Ready Data Summary and Analytic Result Tables

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

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.

Coding Standards for the USC Biostats group

Papers with code for single cell related papers

Reproducible Science: what, why, how

Source code for the CERN Analysis Preservation portal

A DSL for data-driven computational pipelines

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

Data Analysis Workflows & Reproducibility Learning Resources

Lightweight, Python library for fast and reproducible experimentation 🔬

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

Short course on the targets R package

Deploy a BinderHub from scratch on Microsoft Azure

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

Collective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Purely functional build system and package manager

Synchronize your working directory efficiently to a remote place without committing the changes.

A builder for LaTeX, knitr, literate Agda, literate Haskell and Pweave that automatically builds dependencies.

pytask is a workflow management system which facilitates reproducible data analyses.

Ten Years Reproducibility Challenge

#nowplaying-RS: Music Recommendation using Factorization Machines

Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail

🐶 🕵️ Great Dane turned Python environment detective

The Organization lesson for the Reproducible Science Curriculum