nashory / progressive-growing-torch
Torch implementation of "PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION"
☆35Updated 7 years ago
Alternatives and similar repositories for progressive-growing-torch
Users that are interested in progressive-growing-torch are comparing it to the libraries listed below
Sorting:
- The code for Recombinator Networks paper.☆59Updated 6 years ago
- Implementation of Deep Feature Interpolation☆54Updated 7 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 8 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Torch implementation of PixelCNN for MNIST☆29Updated 8 years ago
- Pre-trained models for MixDCNN paper☆36Updated 6 years ago
- ☆121Updated 8 years ago
- torch data augmentation toolbox (supports affine transform)☆54Updated 7 years ago
- Deeper DCGAN with AE stabilization☆38Updated last year
- Code for Fast Bird Part Localization (FGVC 2015)☆22Updated 9 years ago
- Implementation of Spatial Contrasting Network in Keras.☆20Updated 8 years ago
- ☆29Updated 7 years ago
- Image completion with Torch☆34Updated 8 years ago
- Lightweight implementation of neural style in Pytorch with SqueezeNet☆75Updated 8 years ago
- An Implementation of 'Texture Synthesis Using Convolutional Neural Networks' with Kylberg Texture Dataset☆34Updated 8 years ago
- ☆45Updated 8 years ago
- ☆51Updated 2 years ago
- Segmentation with deep learning☆37Updated 8 years ago
- A Keras implementation of PixelRNN☆25Updated 8 years ago
- A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".☆29Updated 8 years ago
- An implementation of the deep convolutional generative adversarial network, combined with a varational autoencoder☆108Updated 8 years ago
- ☆13Updated 8 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw☆22Updated 9 years ago
- CS231N Final Project - Andrew Giel, Ryan Diaz☆13Updated 10 years ago
- Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction☆20Updated 7 years ago
- Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.☆124Updated 8 years ago
- Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875☆47Updated 8 years ago
- Pix2Pix Image translation using conditional generative adversarial network - sketch to face☆85Updated 8 years ago
- Depth-Preserving Style Transfer☆84Updated 8 years ago