A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf

A simplified library for decentralized, privacy preserving machine learning

Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020

Domain Generalization with MixStyle (ICLR'21)

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for ano…

A Collection of Variational Autoencoders (VAE) in PyTorch.

Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)

deep learning for image processing including classification and object-detection etc.

code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"

Published in IEEE Transactions on Artificial Intelligence

Official pytorch implement for “Transformer-Based Source-Free Domain Adaptation”

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

Public repository for my Master Thesis AI: AMC-UvA-GCN-Classification-Neuroimaging

Python Library to Read FreeSurfer's Cortical Parcellation Anatomical Statistics

Official implementation for [N2DCX] Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

Unsupervised Domain Adaptation without Source Data by Casting a BAIT

Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Implementation of Deep Feature Selection algorithm