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 the intensities of various MR image modalities

[WACV2021] Foreground-aware Semantic Representations for Image Harmonization https://arxiv.org/abs/2006.00809

[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization

Harmonization of multi-site imaging data with ComBat (Python)

Official pytorch implementation of the paper: "SinDDM: A Single Image Denoising Diffusion Model"

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…

🔠 Code and specifications to support harmonized data models

A package to manage and compile functional trait data into predefined templates

Collection template and associated materials for SARS-CoV-2 metadata

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…

Implementation of Combat harmonization method with scikit-learn compatible format

Correct drone, aerial and satellite imagery to surface reflectance.

"SinGAN : Learning a Generative Model from a Single Natural Image" in TensorFlow 2

Soil organic carbon data recovery and harmonization (SOC-DRaHR)

This is the official site of HACA3 harmonization algorithm.

RasterSmith is a package to preprocess different NASA Earth observing satellite data products into common resolution, spatial reference, and format for easy analysis and processing across sensors.

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).