ShuvenduRoy / AutoEncodersLinks
Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
☆15Updated 8 years ago
Alternatives and similar repositories for AutoEncoders
Users that are interested in AutoEncoders are comparing it to the libraries listed below
Sorting:
- There is the semi-supervised implement of 'Improved Techniques for Training GANs '☆147Updated 7 years ago
- Implementation of Matthew D. Zeiler's Paper "Visualizing and Understanding Convolutional Neural Networks" [https://cs.nyu.edu/~fergus/pap…☆68Updated 7 years ago
- Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)☆68Updated 7 years ago
- A practical example on how to combine both a CNN and a RNN to classify images.☆53Updated 8 years ago
- TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propa…☆199Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Pytorch implementation of multitask CycleGAN with auxiliary classification loss☆96Updated 5 years ago
- TensorFlow implementation of "Residual Attention Network for Image Classification"☆17Updated 7 years ago
- some demo of GANs☆280Updated 6 years ago
- this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wust…☆63Updated 8 years ago
- ☆132Updated 2 years ago
- A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks☆188Updated 7 years ago
- (PyTorch) Implementations of GAN, Improved GAN, DCGAN, LAPGAN, and InfoGAN in PyTorch☆143Updated 8 years ago
- Unpooling of tensor that has been pooled using max_pool_with_argmax☆23Updated 8 years ago
- It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper …☆38Updated 7 years ago
- ☆49Updated 7 years ago
- tensorflow example of visualizing features from a convnet☆151Updated 9 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- Tensorflow implementation of CycleGANs☆134Updated 8 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆155Updated 8 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
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆122Updated 6 years ago
- ☆94Updated 7 years ago
- A Keras implementation of the DeepMIML Network for multi-instance multi-label learning☆129Updated 8 years ago
- Dual Path Networks for Keras 2.0+☆113Updated 5 years ago
- Implementation of Grad CAM in tensorflow☆250Updated 3 years ago
- pytorch codes☆51Updated 6 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆129Updated 6 years ago
- A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)☆114Updated 7 years ago
- PyTorch implementation of DCGAN☆52Updated 8 years ago