SafwanMahmood / Unsupervised-Domain-Transfer-Learning-modelLinks
Created a model which learns from different dataset and transfers the domain from one to another using two loss function based on the research paper ( https://goo.gl/lqY6cs ). Here the domain was transfered from SHVM to MNIST. Used tensorflow with python for scripting
☆6Updated 8 years ago
Alternatives and similar repositories for Unsupervised-Domain-Transfer-Learning-model
Users that are interested in Unsupervised-Domain-Transfer-Learning-model are comparing it to the libraries listed below
Sorting:
- 迁移学习☆18Updated 6 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 7 years ago
- Deep Transfer Learning codes using Google TensorFlow☆13Updated 9 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 6 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- Deep Visualization Toolbox Github: https://github.com/yosinski/deep-visualization-toolbox Understanding Image Representations by Invert…☆15Updated 8 years ago
- this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wust…☆63Updated 7 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 7 years ago
- ☆61Updated 7 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- Zero-shot learning experiments by deep learning.☆41Updated 6 years ago
- Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)☆68Updated 7 years ago
- Matching Networks for one-shot learning in tensorflow (NIPS'16)☆57Updated 6 years ago
- Implementation of some basic GAN architectures in Keras☆45Updated 7 years ago
- Semi-supervised Learning GAN☆79Updated 7 years ago
- Open category classification by adversarial sample generation☆20Updated 5 years ago
- Book_DeepLearning_Practice☆31Updated 8 years ago
- Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875☆21Updated 8 years ago
- share the codes I write during I learn GAN☆70Updated 6 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- Comparison of Generative Models in Tensorflow☆97Updated 7 years ago
- Convolutional Neural Network combined with ensemble classifier for land use classification☆21Updated 8 years ago
- ☆14Updated 7 years ago
- Recurrent Convolutional Neural Networks in Keras☆50Updated 7 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Updated 8 years ago
- implementation for NIPS paper Triangle Generative Adversarial Networks☆61Updated 7 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago