Reproducibility code for Efficient Aggregated Kernel Tests using Incomplete U-statistics, by Schrab, Kim, Guedj and Gretton: https://arxiv.org/abs/2206.09194 NeurIPS 2022
-
Updated
May 31, 2024 - Jupyter Notebook
Reproducibility code for Efficient Aggregated Kernel Tests using Incomplete U-statistics, by Schrab, Kim, Guedj and Gretton: https://arxiv.org/abs/2206.09194 NeurIPS 2022
Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.15073
Reproducibility code for Differentially Private Permutation Tests: Applications to Kernel Methods, by Kim and Schrab
Reproducibility code for MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting, by Biggs, Schrab, and Gretton: https://arxiv.org/abs/2306.08777
Code for reproducible experiments presented in KSD Aggregated Goodness-of-fit Test. https://arxiv.org/abs/2202.00824 NeurIPS 2022
A GLUE project for hepadnaviruses
A GLUE project for comparative genomic analysis of circular Rep-encoding single-stranded DNA (CRESS DNA) viruses
A platform for end-to-end development of machine learning solutions in biomedical imaging
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
Programmable, reproducible, interactive documents
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
A DSL for data-driven computational pipelines
A setup script to generate ITK Python Wheels
Python package with library and CLI tool for analyzing SeaFlow data
Automated capture of audio-visual stimuli into BIDS datasets
The GenePattern Server web application
Antoine van Kampen: ENCORE AUTOMATION
This is a course on software documentation for researchers developed by the Research Software Engineering team and IT Services at the University of Sheffield.
Website for the ReproducibiliTea Journal Club and Podcast
CoLRev: An open-source environment for collaborative reviews
Add a description, image, and links to the reproducible-research topic page so that developers can more easily learn about it.
To associate your repository with the reproducible-research topic, visit your repo's landing page and select "manage topics."