r10e-ds-pyReproducible Data Science in Python (SciPy 2019 Tutorial)
Stars: ✭ 12 (-53.85%)
papers-as-modulesSoftware Papers as Software Modules: Towards a Culture of Reusable Results
Stars: ✭ 18 (-30.77%)
ReprozipReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.
Stars: ✭ 231 (+788.46%)
ukbrestukbREST: efficient and streamlined data access for reproducible research of large biobanks
Stars: ✭ 32 (+23.08%)
Rrtoolsrrtools: Tools for Writing Reproducible Research in R
Stars: ✭ 508 (+1853.85%)
SacredSacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Stars: ✭ 3,678 (+14046.15%)
ngs-preprocessA pipeline for preprocessing NGS data from Illumina, Nanopore and PacBio technologies
Stars: ✭ 22 (-15.38%)
VistrailsVisTrails 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.
Stars: ✭ 94 (+261.54%)
emp🔬 Empirical CLI
Stars: ✭ 42 (+61.54%)
software-devCoding Standards for the USC Biostats group
Stars: ✭ 33 (+26.92%)
ContaineritPackage an R workspace and all dependencies as a Docker container
Stars: ✭ 248 (+853.85%)
targets-minimalA minimal example data analysis project with the targets R package
Stars: ✭ 50 (+92.31%)
FGMachineFuture Gadget Machine
Stars: ✭ 66 (+153.85%)
TargetsFunction-oriented Make-like declarative workflows for R
Stars: ✭ 293 (+1026.92%)
openscienceEmpirical Software Engineering journal (EMSE) open science and reproducible research initiative
Stars: ✭ 28 (+7.69%)
LabnotebookLabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Stars: ✭ 526 (+1923.08%)
analysis-flowData Analysis Workflows & Reproducibility Learning Resources
Stars: ✭ 108 (+315.38%)
DrakeAn R-focused pipeline toolkit for reproducibility and high-performance computing
Stars: ✭ 1,301 (+4903.85%)
EnmfThis 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 (+269.23%)
NextflowA DSL for data-driven computational pipelines
Stars: ✭ 1,337 (+5042.31%)
Steppy ToolkitCurated set of transformers that make your work with steppy faster and more effective 🔭
Stars: ✭ 21 (-19.23%)
binderhub-deployDeploy a BinderHub from scratch on Microsoft Azure
Stars: ✭ 27 (+3.85%)
WdlWorkflow Description Language - Specification and Implementations
Stars: ✭ 438 (+1584.62%)
awflowReproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!
Stars: ✭ 15 (-42.31%)
SteppyLightweight, Python library for fast and reproducible experimentation 🔬
Stars: ✭ 119 (+357.69%)
EverwareEverware is about re-useable science, it allows people to jump right in to your research code.
Stars: ✭ 112 (+330.77%)
SarekDetect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
Stars: ✭ 124 (+376.92%)
Liftr🐳 Containerize R Markdown documents for continuous reproducibility
Stars: ✭ 155 (+496.15%)
reproducibleA set of tools for R that enhance reproducibility beyond package management
Stars: ✭ 33 (+26.92%)
fertilecreating optimal conditions for reproducibility
Stars: ✭ 52 (+100%)
showyourworkFully reproducible, open source scientific articles in LaTeX.
Stars: ✭ 361 (+1288.46%)
GtsummaryPresentation-Ready Data Summary and Analytic Result Tables
Stars: ✭ 450 (+1630.77%)
benchmark VAEUnifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Stars: ✭ 1,211 (+4557.69%)
Drake ExamplesExample workflows for the drake R package
Stars: ✭ 57 (+119.23%)
Evalai☁️ 🚀 📊 📈 Evaluating state of the art in AI
Stars: ✭ 1,087 (+4080.77%)
Recsys2019 deeplearning evaluationThis 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 (+2900%)
FglabFuture Gadget Laboratory
Stars: ✭ 218 (+738.46%)
hydra-zenPythonic functions for creating and enhancing Hydra applications
Stars: ✭ 165 (+534.62%)
lightning-hydra-templatePyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
Stars: ✭ 1,905 (+7226.92%)
GeneTonicEnjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
Stars: ✭ 66 (+153.85%)
alchemyExperiments logging & visualization
Stars: ✭ 49 (+88.46%)
RepSePReproducible Self-Publishing - Demo Publications in the Most Common Formats
Stars: ✭ 14 (-46.15%)
OSODOSOpen Science, Open Data, Open Source
Stars: ✭ 23 (-11.54%)
microbiomeHDCross-disease comparison of case-control gut microbiome studies
Stars: ✭ 58 (+123.08%)
wrenchWRENCH: Cyberinfrastructure Simulation Workbench
Stars: ✭ 25 (-3.85%)
OneLauncherLauncher and Addon Manager for LOTRO and DDO
Stars: ✭ 21 (-19.23%)
rmdTemplatesRmarkdown templates for reproducible science
Stars: ✭ 112 (+330.77%)
stantargetsReproducible Bayesian data analysis pipelines with targets and cmdstanr
Stars: ✭ 31 (+19.23%)
ITKSphinxExamplesCookbook examples for the Insight Toolkit documented with Sphinx
Stars: ✭ 48 (+84.62%)