yanqi1811 / transfer-learning

Related projects ⓘ

Alternatives and complementary repositories for transfer-learning

• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆26Updated 5 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 7 years ago
• jindongwang / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆37Updated 5 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆78Updated 2 years ago
• thuml / SAN
  Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)
  ☆69Updated 6 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 6 years ago
• jramapuram / CVAE
  Convolutional Variational Autoencoder
  ☆34Updated 5 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 5 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 5 years ago
• thuml / MADA
  Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
  ☆56Updated 6 years ago
• GuHongyang / SS-VAE-pytorch
  The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch
  ☆17Updated 5 years ago
• erlendd / ddan
  Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
  ☆71Updated 5 years ago
• snehchav / Semi-Supervised-Image-Classification
  The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…
  ☆17Updated 6 years ago
• FuzhenZhuang / Transfer-Learning-Toolkit
  Transfer Learning Toolkit for Primary Researchers
  ☆99Updated 3 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆75Updated 5 years ago
• rflamary / JDOT
  Joint distribution optimal transportation for domain adaptation
  ☆93Updated 6 years ago
• ShichengChen / Domain-Adversarial-Training-of-Neural-Networks
  implement Domain-Adversarial Training of Neural Networks
  ☆60Updated 6 years ago
• ksalsw1996 / pytorch_DAE
  pytorch implementation of stacked denoising autoencoder
  ☆20Updated 7 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 8 years ago
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆64Updated 5 years ago
• achintyagopal / VAE-Clustering
  Using VAEs to do clustering for classification
  ☆11Updated 7 years ago
• hezhangsprinter / SROSR
  This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)
  ☆23Updated 7 years ago
• vtddggg / ATDA
  Unofficial Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆40Updated 7 years ago
• jramapuram / LifelongVAE_pytorch
  pytorch implementation of https://arxiv.org/abs/1705.09847
  ☆14Updated 4 years ago
• HuangLongji / transferlearning
  ☆10Updated 4 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆33Updated 8 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 6 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 5 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆25Updated 7 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆123Updated last year