Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Official Pytorch implementation of the preprint paper "Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos", in arXiv:2010.11800.
PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
Normalize MR image intensities in Python
[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization
Harmonization of multi-site imaging data with ComBat (Python)
A standardized browser-based spreadsheet editor and validator that can be run offline and locally, and which includes templates for SARS-CoV-2 and Monkeypox sampling data. This project, created by the Centre for Infectious Disease Genomics and One Health (CIDGOH), at Simon Fraser University, is now an open-source collaboration with contributions…
Official pytorch implementation of the paper: "SinDDM: A Single Image Denoising Diffusion Model"
🔠 Code and specifications to support harmonized data models
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
Collection template and associated materials for SARS-CoV-2 metadata
This is the official site of HACA3 harmonization algorithm.
A package to manage and compile functional trait data into predefined templates
This is the repository for the Global Labor Database (GLD). It aims to contain all necessary information to understand what the GLD is and how it functions. It does not, however, contain any microdata. For any questions please contact the Focal Point (gld@worldbank.org).
Correct drone, aerial and satellite imagery to surface reflectance.
Easy to use online music scale and chords generator, multiple scales and modes included, scale finder, and visualization on guitar and keyboard.
Implementation of Combat harmonization method with scikit-learn compatible format
Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use R package for users to annotate clusters of single cells, harmonize labels across single cell datasets to generate a unified atlas and infer relationship among celltypes between two datasets. It uses an ensemble of three machine learning classif…
"SinGAN : Learning a Generative Model from a Single Natural Image" in TensorFlow 2
Soil organic carbon data recovery and harmonization (SOC-DRaHR)
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