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Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Deep Neural Network Library for JavaScript.
Awesome Domain Adaptation Python Toolbox
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)
Implementation of DANN with pytorch
Implementation of Domain adaptation on PACS dataset using a modified version of Alexnet.
Classifying Forged vs Authentic using Domain Adaptation across in new domains in unsupervised settings
This is the repository of Deep Learning for Computer Vision at National Taiwan University.
Master's Final Project: Adversarial Domain Adaptation Super Resolution
A two-stage unilateral alignment approach in improving the performance of domain adversarial methods subjected to incomplete target label space while training.
Implementation of DANN, a Domain Adaptation algorithm, on the PACS dataset using AlexNet.
Domain Adaptation DL methods adapted for functional MRI (fMRI) data analysis. Enjoy building domain-agnostic models on all levels of data abstraction.
Unofficial PyTorch implementation of Domain-Adversarial Training of Neural Networks
Implementation of Domain adaptation on PACS dataset using a modified version of Alexnet.
Third homework of the course "Machine learning and artificial intelligence", focused on deep domain adaptation applied on AlexNet and cross domain validation
Utilize synthetic data and unlabeled real data to train an image classifier, employing Domain Adaptation techniques.
Provides cuda bindings, kernel maps and device memory managment for Dannjs computations. [Experimental and not complete]
Omni-supervised domain adversarial training for WM hyperintensity segmentation
Deep Neural Network predicts pokemon combat outcomes with Dannjs
Domain Adaptation With Domain-Adversarial Training of Neural Networks