shashwath94 / Semisupervised-learning-with-DCGANsLinks
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 8 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
Sorting:
- Keras implementation of the conditional GAN.☆57Updated 8 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Semi-supervised Learning GAN☆79Updated 7 years ago
- Convolutional Neural Network combined with ensemble classifier for land use classification☆21Updated 8 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- ☆48Updated 7 years ago
- Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)☆68Updated 7 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆60Updated 8 years ago
- A Matlab implementation of the capsule networks (or capsnet).☆48Updated 7 years ago
- Semi supervised GAN implementation☆12Updated 7 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 6 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 6 years ago
- An experimental Generative Adversarial Network implementation of the Capsule Neural Network☆52Updated 7 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- Code for the paper "Siamese-GAN: Learning Invariant Representations for Aerial Vehicle Image Categorization"☆13Updated 6 years ago
- Master Thesis. Code written in python. (Keras with Tensorflow backend)☆22Updated 5 years ago
- Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)☆43Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Implementation of Squeeze-and-Excitiation Network on Keras☆22Updated 5 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 6 years ago
- PyTorch implementation of semi-supervised GAN☆14Updated 7 years ago
- Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classifica…☆25Updated 7 years ago
- Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"☆45Updated 6 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆149Updated 6 years ago
- Transfer Learning☆10Updated 6 years ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 6 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆35Updated 8 years ago
- implementation of BiGAN model using tensorflow☆16Updated 6 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 6 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago