Specifying and executing multiverse analysis
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Updated
Apr 25, 2021 - Python
Specifying and executing multiverse analysis
Code repository accompanying "Assessing data availability and research reproducibility in hydrology and water resources"
Special Issue: The Potential of Notebooks for Scientific Publication: Reproducibility, and Dissemination
TriScale software
A Python library to determine what exactly the user ran at the command line, along with default values, and any transformations that happened after parsing arguments.
Materials for the MIT PML workshop on Good coding practices for social scientists.
Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
Git copy of our Overleaf project for the preprint of Nine Best Practices for Research Software Registries and Repositories: A Concise Guide
A Python Interface to Reproducibility Measures of System-Oriented IR Experiments
A framework-agnostic deep learning package and experiment manager
radjust: Replicability Adjusted p-values for Two Independent Studies with Multiple Endpoints
Position Paper for the J-STARS Special Issue on Reproducible Research in Remote Sensing
zcurve R package for assessing the reliability and trustworthiness of published literature with the z-curve method
Resources on the Artifact Evaluation (AE) Process
[ECIR 2022] Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study
Super repository for some my computer-based experiments associated to publications
Code meta data via .ini files.
Repository of the paper "A benchmark of categorical encoders for binary classification".
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