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
- Convolutional Neural Network combined with ensemble classifier for land use classification☆20Updated 7 years ago
- ☆48Updated 7 years ago
- Keras implementation of the conditional GAN.☆57Updated 8 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 5 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 5 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆59Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Semi-supervised Learning GAN☆80Updated 7 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- PyTorch implementation of semi-supervised GAN☆14Updated 7 years ago
- Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.☆89Updated 7 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- Semi supervised GAN implementation☆12Updated 7 years ago
- Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).☆29Updated 3 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- Classification of Time-series data with RNN☆18Updated 5 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆23Updated 6 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆56Updated 6 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
- A practical example on how to combine both a CNN and a RNN to classify images.☆53Updated 7 years ago
- Try Openmax with MNIST Fashion dataset☆11Updated 6 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 5 years ago
- Master Thesis. Code written in python. (Keras with Tensorflow backend)☆21Updated 4 years ago
- This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"☆88Updated 5 years ago
- Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset☆103Updated 7 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆11Updated 6 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 7 years ago
- A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image☆18Updated 6 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 7 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 6 years ago