Theano reimplementation of pixelCNN architecture
-
Updated
Jul 23, 2016 - Python
Theano reimplementation of pixelCNN architecture
An AI research project which explores audio synthesis.
PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
Pytorch implementation of "Pixcolor:Pixel Recursive Colorization" (in progress)
Training PixelCNN on Flickr8k Images
Probabilistic Image Colorization, BMVC 2017
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Presentation slides relevant to invited and contributed talks
Pytorch implementatiions of the Homeworks in course CS294-158
Repository for machine learning proyects with tensorflow
implementation of VQVAE in pytorch
The implementation of auto regressive models such as PixelCNN and GatedPixelCNN on stanford dog dataset.
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
Improving OoD performance of generative models by focusing on the semantic information
Tensorflow 2.0 implementation of Deep Autoregressive Models
Add a description, image, and links to the pixelcnn topic page so that developers can more easily learn about it.
To associate your repository with the pixelcnn topic, visit your repo's landing page and select "manage topics."