shashwath94 / Semisupervised-learning-with-DCGANs
Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images with relatively little training data
☆12Updated 7 years ago
Alternatives and similar repositories for Semisupervised-learning-with-DCGANs:
Users that are interested in Semisupervised-learning-with-DCGANs are comparing it to the libraries listed below
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆59Updated 7 years ago
- Convolutional Neural Network combined with ensemble classifier for land use classification☆21Updated 7 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 6 years ago
- Semi-supervised Learning GAN☆79Updated 7 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Try Openmax with MNIST Fashion dataset☆11Updated 6 years ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 6 years ago
- ☆48Updated 7 years ago
- Open-Set Recognition Using Intra-Class Splitting☆17Updated 5 years ago
- This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.☆50Updated 6 years ago
- Keras implementation of the conditional GAN.☆57Updated 8 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 6 years ago
- Code for the paper "Siamese-GAN: Learning Invariant Representations for Aerial Vehicle Image Categorization"☆13Updated 6 years ago
- Reproduction code for WGAN-LP☆15Updated 7 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆38Updated 6 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆34Updated 7 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 6 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调☆42Updated 8 years ago
- Master Thesis. Code written in python. (Keras with Tensorflow backend)☆21Updated 4 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.☆23Updated 7 years ago
- Tensorflow Implementation of open set domain adaptation by backpropagation☆29Updated 6 years ago
- In emotion classification task☆21Updated 7 years ago
- This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)☆23Updated 8 years ago
- TensorFlow implementation of "Residual Attention Network for Image Classification"☆16Updated 6 years ago
- A practical example on how to combine both a CNN and a RNN to classify images.☆53Updated 8 years ago