Xuyafei123

Xuyafei123's Stars

• LucasNolasco/ST-NILM

  ST-NILM is a new integrated architecture based on the Scattering Transform. It has a DCN (Deep Convolutional Network) with analytical wavelet-based non-trained weights, shared with fully connected output networks that perform event detection and multi-label classification of aggregate loads.

  Language:Jupyter Notebook10

• htz-ecust/Semantic-consistent-Embedding

  The implementation of "Semantic-consistent Embedding".

  Language:Python146

• LiangjunFeng/Industrial_ZSL

  Source Code of Industrial_ZSL in TII

  Language:Python276

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2.1k256

• fish-kong/CSDN-code-link

  由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接

  14921

• iTomxy/data

  data processing

  Language:Python161

• A11en0/MPVAE-Pytorch

  A pytorch re-implementation version of MPVAE.

  Language:Python1

• wenting-zhao/mpvae

  A pytorch implementation of mpvae.

  Language:Python133

• JunwenBai/C-GMVAE

  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification

  Language:Python396

• A11en0/Deep-BR

  Deep Neural Network for Multi Label Learning with Binary Relevance

  Language:Python2

• NeelBhowmik/xray

  List of datasets and papers in X-ray security images (Computer vision/Machine Learning)

  7416

• dawnnao/Group-sparsity-aware-CNN

  For data recovery of Structural Health Monitoring

  Language:Python82

• thuml/Transfer-Learning-Library

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

  Language:Python3.2k544

• IFFM-PAS-MISD/aidd

  Delamination size estimation in composite laminates by using deep neural networks, especially image segmentation and RNNs.

  Language:Jupyter Notebook71

• corenel/pytorch-adda

  A PyTorch implementation for Adversarial Discriminative Domain Adaptation

  Language:Python468138

• fungtion/DANN

  pytorch implementation of Domain-Adversarial Training of Neural Networks

  Language:Python814149

• XiaTianqi/transfer-learning

  Language:Python51

• cure-lab/Awesome-time-series

  A comprehensive survey on the time series domains

  48441

• wmeiqi/transferlearning

  Language:Python81

• domainadaptation/salad

  A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

  Language:HTML33142

• domainadaptation/awesome-transfer-learning

  Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

  5

• mohamedr002/CADA

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

  Language:Python425

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.1k3.8k

• easezyc/deep-transfer-learning

  A collection of implementations of deep domain adaptation algorithms

  Language:Python860203

• FuzhenZhuang/Transfer-Learning-Toolkit

  Transfer Learning Toolkit for Primary Researchers

  Language:MATLAB9739