An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: dann

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: 12 months ago - Stars: 3,665 - Forks: 568

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: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

measterpojo/measterpojo-Supervised-Domain-Adaptation

Supervised-Domain-Adaptation

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

adapt-python/adapt

Awesome Domain Adaptation Python Toolbox

Language: Python - Size: 57.8 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 328 - Forks: 47

microsoft/UDA

Unsupervised Domain Adaptation for Computer Vision Tasks

Language: Python - Size: 4.73 MB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 105 - Forks: 15

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: 20 days ago - Pushed at: about 1 year ago - Stars: 68 - Forks: 13

matiasvlevi/Dann 📦

Deep Neural Network Library for JavaScript.

Language: JavaScript - Size: 3.59 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 425 - Forks: 23

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: 3 months ago - Pushed at: 3 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: 5 months ago - Pushed at: 5 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: 11 months ago - Pushed at: 11 months 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: about 2 months ago - Pushed at: about 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: almost 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: over 1 year ago - Pushed at: over 1 year 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: over 1 year ago - Pushed at: almost 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: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

fungtion/DANN_py3

python 3 pytorch implementation of DANN

Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: almost 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: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Yangyangii/DANN-pytorch

Implementation of DANN with pytorch

Language: Jupyter Notebook - Size: 570 KB - Last synced at: over 1 year ago - Pushed at: almost 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: almost 2 years ago - Pushed at: over 3 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: about 1 year ago - Pushed at: over 1 year 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: about 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: about 2 years ago - Pushed at: over 3 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: 2 months ago - Pushed at: almost 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: about 2 years ago - Pushed at: over 5 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: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

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: about 2 years ago - Pushed at: over 4 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: 2 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

matiasvlevi/DannjsSandbox

Online Editor for the Dannjs library.

Language: JavaScript - Size: 229 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

dudevil/DomainAdaptation

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

Related Keywords
dann 31 domain-adaptation 22 pytorch 13 deep-learning 11 transfer-learning 7 machine-learning 4 dannjs 4 python 4 unsupervised-domain-adaptation 4 keras 3 pacs-dataset 3 adversarial-learning 3 mnist 2 dann-pytorch 2 svhn 2 python3 2 image-classification 2 gan 2 classification 2 nodejs 2 js 2 deep-neural-networks 2 time-series 2 tensorflow 2 cnn 2 computer-vision 2 unsupervised-learning 2 semi-supervised-learning 2 neural 1 pokedex 1 docker 1 revgrad 1 pytorch-dann 1 domain-alignment 1 forgery-classification 1 pokemon 1 forged-images 1 feature-extraction 1 dnn 1 ddc 1 comofod 1 coco-image-dataset 1 coco-dataset 1 classifying-forged 1 casia 1 synthetic-data 1 resnet-18 1 editor 1 alexnet-model 1 nn 1 osdap 1 omni-supervised-learning 1 lesion-segmentation 1 segmentation 1 isbi-2022 1 age-prediction 1 wgangp 1 wgan-gp 1 wgan 1 super-resolution 1 truenet 1 uk-biobank 1 sr 1 alexnet 1 adda 1 ai 1 cuda 1 addon 1 mri 1 fmri 1 fader-networks 1 mnist-classification 1 domain-adversarial 1 dann-github 1 sleep-stage-classification 1 coral 1 codats 1 neural-network 1 javascript 1 sharpness-aware-minimization 1 icml-2022 1 adversarial-training 1 domain-generalization 1 discriminator 1 zero-shot-learning 1 scikit-learn 1 regularization-parameters 1 importance-sampling 1 generalization 1 few-shot-learning 1 feature-selection 1 adversarial-networks 1 supervised-learning 1 artificial-neural-networks 1 object-detection 1 self-training 1 out-of-distribution-generalization 1 image-translation 1 finetune 1 human-activity-recognition 1