202 Open source projects that are alternatives of or similar to ukbrest

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

Short course on reproducible science: what, why, how

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

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

Reproducible Data Science in Python (SciPy 2019 Tutorial)

rrtools: Tools for Writing Reproducible Research in R

Examples and demos for ReproZip

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

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.

Data Analysis Workflows & Reproducibility Learning Resources

Deploy a BinderHub from scratch on Microsoft Azure

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.

Package an R workspace and all dependencies as a Docker container

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

⛔ ARCHIVED ⛔

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.

Fully reproducible, open source scientific articles in LaTeX.

A minimal example data analysis project with the targets R package

🐳 Containerize R Markdown documents for continuous reproducibility

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

Papers with code for single cell related papers

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

Lightweight, Python library for fast and reproducible experimentation 🔬

project page for creating a guide to reproducible research

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

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

Short course on the targets R package

Function-oriented Make-like declarative workflows for R

creating optimal conditions for reproducibility

Coding Standards for the USC Biostats group

Future Gadget Machine

Pythonic functions for creating and enhancing Hydra applications

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

Future Gadget Laboratory

Workflow Description Language - Specification and Implementations

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

Reproducible Science: what, why, how

Open solution to the Google AI Object Detection Challenge 🍁

A DSL for data-driven computational pipelines

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

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

☁️ 🚀 📊 📈 Evaluating state of the art in AI

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

🔬 Empirical CLI

Presentation-Ready Data Summary and Analytic Result Tables

Source code for the CERN Analysis Preservation portal

Example workflows for the drake R package

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages

Guide for Reproducible Research and Data Science in Jupyter Notebooks

Seamless is a framework to set up reproducible computations (and visualizations) that respond to changes in cells. Cells contain the input data as well as the source code of the computations, and all cells can be edited interactively.

Prepare reproducible R Markdown posters

Collective Knowledge repository with actions to unify the access to different predictive analytics engines (scipy, R, DNN) from software, command line and web-services via CK JSON API:

JavaScript VisualizationTools

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

Live code in Pandoc Markdown

A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.

Monitor computational workflows in real time