Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

python 3 pytorch implementation of DANN

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)

Unsupervised Domain Adaptation for Computer Vision Tasks

[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",

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

Souce code of "Inter-seasons and Inter-households Domain Adaptation Based on DANNs and Pseudo Labeling for Non-Intrusive Occupancy Detection" (JSAI Journal) + "Two stages domain invariant representation learners solve the large co-variate shift in unsupervised domain adaptation with two dimensional data domains"(https://arxiv.org/abs/2412.04682).

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.

Unofficial PyTorch implementation of Domain-Adversarial Training of Neural Networks

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

No description provided.

🔄 [Signal] Domain adaptation for fault classification using DANN (Source → Target)

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

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DANN PyTorch implementation with 2D toy example

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

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

Unsupervised neural domain adaptation for document image binarization

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

Online Editor for the Dannjs library.

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

Object detection for Domain adaptation with The Pascal VOC 2012 dataset (DANN)

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