Utilize synthetic data and unlabeled real data to train an image classifier, employing Domain Adaptation techniques.

Implementation of Domain adaptation on PACS dataset using a modified version of Alexnet.

Online Editor for the Dannjs library.

Domain Adaptation DL methods adapted for functional MRI (fMRI) data analysis. Enjoy building domain-agnostic models on all levels of data abstraction.

Provides cuda bindings, kernel maps and device memory managment for Dannjs computations. [Experimental and not complete]

Domain Adaptation / Transfer Learning in popular datasets (MNIST, SVHN, USPS)

Implementation of DANN, a Domain Adaptation algorithm, on the PACS dataset using AlexNet.

Unofficial PyTorch implementation of Domain-Adversarial Training of Neural Networks

Unsupervised neural domain adaptation for document image binarization

DANN PyTorch implementation with 2D toy example

Source code of "Inter-seasons and Inter-households Domain Adaptation Based on DANNs and Pseudo Labeling for Non-Intrusive Occupancy Detection" (JSAI Journal). + ongoing experiments in domain invariant representation learning.

Domain Adaptation With Domain-Adversarial Training of Neural Networks

Omni-supervised domain adversarial training for WM hyperintensity segmentation

A two-stage unilateral alignment approach in improving the performance of domain adversarial methods subjected to incomplete target label space while training.

Third homework of the course "Machine learning and artificial intelligence", focused on deep domain adaptation applied on AlexNet and cross domain validation

Master's Final Project: Adversarial Domain Adaptation Super Resolution

This is the repository of Deep Learning for Computer Vision at National Taiwan University.

Deep Neural Network predicts pokemon combat outcomes with Dannjs

Implementation of Domain adaptation on PACS dataset using a modified version of Alexnet.