ZhangJUJU

OfficeCaltechDomainAdaptation-1

AFN

Code release for "Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach".

awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Batch_Instance_Normalization-Tensorflow

Simple Tensorflow implementation of Batch-Instance Normalization (NIPS 2018)

CCSA_PyTorch

PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")

cosine_softmax_keras

Quick implementation of Deep Cosine Metric Learning for Person Re-Identification in Keras

crosstrainer

CrossTrainer: Practical Domain Adaptation with Loss Reweighting

Cuda_myPaillier

Toy version of Paillier cryptosystem

da

ddan

Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

DECISION

Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)

Deep-Coral-Tf

A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation

DeepLearn_UrbanSoundClassification

Set of 1D CNN models to classify sound clips from the Urban Sound Classification dataset using Keras and Librosa

Domain_Adaptation

BaseLine

HDA

HOT-DA

Hierarchical Optimal Transport for Unsupervised Domain Adaptation (HOT-DA). Paper submitted to Machine Learning Journal.

JDDA

Code for the paper Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

keras-CosineSoftmax-Layer

Implementation of CosineSoftmax Layer for keras:

MMCD_DA

MMD_AAE

Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.

MNIST_center_loss_pytorch

A Pytorch implementation of center loss on MNIST

MSCLDA

mstn

PyTorch reimplementation of Moving Semantic Transfer Network

OPDA_BP

Open-set-domain-adaptation

Open set domain adaptation code DAOD

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

sam

SAM: Sharpness-Aware Minimization (PyTorch)

Transfer-Learning-Library

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

undaw

Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance

VGGish

An inplementation of vggish in keras with tf backend