Alternatives and similar repositories for HierarchicalTransferLearning:

Users that are interested in HierarchicalTransferLearning are comparing it to the libraries listed below

• jay15summer / Two-stage-TrAdaboost.R2
  ☆47Updated 6 years ago
• floft / codats
  Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)
  ☆55Updated 4 years ago
• dingkmC / MSDA
  Multiple Source Domain Adaptation with Adversarial Learning
  ☆22Updated 4 years ago
• Isilendil / OSTL
  Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
  ☆28Updated 9 years ago
• Mengwen-Xu / -TCA
  迁移成分分析TCA代码实现Python
  ☆7Updated 5 years ago
• MaterialsInformaticsDemo / TCA
  Domain Adaptation via Transfer Component Analysis
  ☆13Updated last year
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 7 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago
• FuzhenZhuang / Transfer-Learning-Toolkit
  Transfer Learning Toolkit for Primary Researchers
  ☆102Updated 3 years ago
• AngryCarrot / JDA
  Joint Distribution Adaptation ICCV2013
  ☆15Updated 7 years ago
• mohamedr002 / SLARDA
  ☆37Updated last year
• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆27Updated 6 years ago
• chamwen / NT-Benchmark
  A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381
  ☆17Updated 2 years ago
• menghonghan / Tansfer-Feature-Learing-with-JDA-implementation-
  The introduction and code implementation of the paper "Transfer Feature Learning with Joint Distribution Adaptation"
  ☆10Updated 5 years ago
• yyyaoyuan / CWAN
  Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network, TNNLS 2021
  ☆20Updated 3 years ago
• liujikun / Multi-kernel-Joint-Domain-Matching
  A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…
  ☆11Updated 5 years ago
• floft / calda
  Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation
  ☆28Updated 3 years ago
• JacobWang95 / mWDN
  ☆52Updated 6 years ago
• wenchieh / MEDA
  Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)
  ☆20Updated 6 years ago
• zhangxu0307 / stack-autoencoder
  This is stack autoencoder (SAE) implemented by Pytorch
  ☆25Updated 7 years ago
• loyalzc / transfer_learning
  Transfer Learning JDA and TrAdaboost
  ☆64Updated 7 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆45Updated 6 years ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• chenfei0328 / mWDN-RCF
  Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
  ☆32Updated 5 years ago
• amber0309 / Multidomain-Discriminant-Analysis
  Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"
  ☆14Updated 5 years ago
• zhaochangming / MVBLS
  Multi-view Broad Learning Systerm
  ☆10Updated 3 years ago
• syorami / DDC-transfer-learning
  A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
  ☆155Updated 6 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆100Updated 5 years ago
• hellowangqian / cdspp-hda
  Cross Domain Structure Preserving Projection for Heterogeneous Domain Adaptation
  ☆14Updated 2 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆77Updated 5 years ago