research for transfer learning for time-series prediction

This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.

Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response

RUL estimation using unsupervised transfer learning with Domain adaptation(GANs) by using algorithm AdaRUL

Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction

Application of Transfer Learning for RUL Prediction

A collection of unsupervised domain adaption algorithms for RUL estimation.

🏦 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

This repository contains the code for the study titled 'Domain-adaptive State-of-Health Prediction of On-vehicle Batteries Powered by Deep Learning''

Transformer-based object detection framework using DETR with Fourier Domain Adaptation (FDA) for improved performance in adverse weather conditions. Enhances detection accuracy in fog, rain, and sn…

Transformer-based object detection framework using DETR with Fourier Domain Adaptation (FDA) for improved performance in adverse weather conditions. Enhances detection accuracy in fog, rain, and sn…

The PyTorch implementation of Temperature Adaptive Transfer Network for Cross-Domain State of Charge Estimation of Li-ion Batteries at Different Ambient Temperatures.

This repository is for the transfer learning or domain adaptive with fault diagnosis.

Library of transfer learners and domain-adaptive classifiers.

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify t…

domain adaption with LSGAN for bearing fault diagnosis

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)

Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

python 3 pytorch implementation of DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks