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Code for Transfer Learning book--《迁移学习导论》配套代码
Domain adaptation with Adaptive Dropout and Adaptive Batch Normalization using Deep Coral and DANN methods for Remote Sensing Scene Classification.
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
A curated list of papers & resources linked to open set domain adaptation
code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)
Official code for the ECCV 2022 paper "Contrastive Vicinal Space for Unsupervised Domain Adaptation"
Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).
Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用于故障诊断
A collection of implementations of deep domain adaptation algorithms
code for Evidential Multi-Source-Free Unsupervised Domain Adaptation
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Official code for the CVPR 2021 paper "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation"
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
This repository is for the transfer learning or domain adaptive with fault diagnosis.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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