thuml/Transfer-Learning-Library

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

Language: Python - Size: 13.7 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 3,763 - Forks: 575

michiel-j/DANN-two-moons-PyTorch

Demo for unsupervised domain adversarial neural network (DANN) using two moons synthetic dataset. Implemented in PyTorch, compared to ADAPT (TensorFlow) for correctness.

Language: Python - Size: 840 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

adapt-python/adapt

Awesome Domain Adaptation Python Toolbox

Language: Python - Size: 57.8 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 342 - Forks: 51

matiasvlevi/Dann 📦

Deep Neural Network Library for JavaScript.

Language: JavaScript - Size: 3.59 MB - Last synced at: 14 days ago - Pushed at: 7 months ago - Stars: 425 - Forks: 23

97yong/domain-adaptation-signal

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

Language: Python - Size: 11.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

microsoft/UDA

Unsupervised Domain Adaptation for Computer Vision Tasks

Language: Python - Size: 4.73 MB - Last synced at: 5 days ago - Pushed at: about 3 years ago - Stars: 108 - Forks: 15

measterpojo/Object-detection-for-Domain-adpatation-

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

Language: Jupyter Notebook - Size: 475 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

measterpojo/measterpojo-Supervised-Domain-Adaptation

Supervised-Domain-Adaptation

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val-iisc/SDAT

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

Language: Python - Size: 479 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 69 - Forks: 13

oh-yu/domain-invariant-learning

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).

Language: Jupyter Notebook - Size: 6.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 10 - Forks: 0

itsalicelee/DLCV-Fall-2021

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

Language: Python - Size: 88.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 1

ajgallego/SAE-DANN

Unsupervised neural domain adaptation for document image binarization

Language: Python - Size: 36.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

reshalfahsi/domain-adaptation

Domain Adaptation With Domain-Adversarial Training of Neural Networks

Language: Jupyter Notebook - Size: 239 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

emadeldeen24/AdaTime

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

Language: Python - Size: 106 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 128 - Forks: 14

nopesir/DANNHomework3

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

Language: Jupyter Notebook - Size: 124 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

Quoccuong1004/DANN_warehouse

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

Language: Python - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

NaJaeMin92/pytorch-DANN

PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)

Language: Python - Size: 45.9 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 85 - Forks: 21

AKASH2907/Forgery-Classification-via-Domain-Adaptation

Classifying Forged vs Authentic using Domain Adaptation across in new domains in unsupervised settings

Language: Python - Size: 87.9 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 3

s-chh/PyTorch-DANN

Unofficial PyTorch implementation of Domain-Adversarial Training of Neural Networks

Language: Python - Size: 21.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

fungtion/DANN_py3

python 3 pytorch implementation of DANN

Language: Python - Size: 9.77 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 423 - Forks: 86

hadinej/DL-Domain-adaptation-on-PACS-dataset

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

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Yangyangii/DANN-pytorch

Implementation of DANN with pytorch

Language: Jupyter Notebook - Size: 570 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 38 - Forks: 14

vvekraman/Missing-Class-Robust-Domain-Adaptation-by-Unilateral-Alignment

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

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

mashaan14/DANN-toy

DANN PyTorch implementation with 2D toy example

Language: Python - Size: 1.11 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

kondratevakate/fmri-domain-adaptation-zoo

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

Language: Jupyter Notebook - Size: 299 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

robertofranceschi/Domain-Adaptation-on-PACS-dataset

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

Language: Python - Size: 1.99 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 1

matiasvlevi/Cuno

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

Language: Cuda - Size: 1.49 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

TiagoCortinhal/ADASR

Master's Final Project: Adversarial Domain Adaptation Super Resolution

Language: Python - Size: 83 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 0

v-sundaresan/omnisup_agepred_semidann

Omni-supervised domain adversarial training for WM hyperintensity segmentation

Language: Python - Size: 74.2 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

lzx6/pytorch_DA

Language: Python - Size: 139 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 2

gabrieletiboni/Domain-adaptation-on-PACS-dataset

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

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

matiasvlevi/Dannjs-Pokemon

Deep Neural Network predicts pokemon combat outcomes with Dannjs

Language: JavaScript - Size: 8.97 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

matiasvlevi/DannjsSandbox

Online Editor for the Dannjs library.

Language: JavaScript - Size: 229 KB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

dudevil/DomainAdaptation

Language: Python - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 7