StepUp RepRep is the StepUp extension for Reproducible Reporting
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Updated
Jun 2, 2024 - Python
StepUp RepRep is the StepUp extension for Reproducible Reporting
A simple, powerful and universal build tool
🦉 ML Experiments and Data Management with Git
Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist
A Python package to record function execution contexts for reproducibility
Build an entire Emacs configuration as a Nix package in a pure, reproducible way
A platform for sharing and reusing biomodeling studies including models, simulations, and visualizations of their results
Declarative and reproducible Jupyter environments - powered by Nix
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Automated Quantum Mechanical Environments (AQME) offers transparent and reproducible workflows available for Jupyter Notebooks and command lines, including: 1) RDKit- and CREST-based conformer generation, 2) QM input file creation, 3) post-processing of QM output files, 4) generation of xTB, DFT and RDKit descriptors. https://aqme.readthedocs.io
A public git version of my research projects, i.e. articles and all that
my Linux Configuration
Track publicly available replication codes/supplemental materials in economics (currently top 10) journals
Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]
Aid Steno Researchers Who Work on the UKB RAP.
Barbera van Schaik, Antoine van Kampen: ENCORE project for analysis for T-cell and B-cell repertoires
Antoine van Kampen: ENCORE AUTOMATION
NixOS configuraitons for my machines
This package allows R code chunks, which can be tested for reproducibility.
Add a description, image, and links to the reproducibility topic page so that developers can more easily learn about it.
To associate your repository with the reproducibility topic, visit your repo's landing page and select "manage topics."