Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
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Updated
May 7, 2019 - Python
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Easy generative modeling in PyTorch.
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Theano reimplementation of pixelCNN architecture
PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.
3D VQ-VAE-2 for high-resolution CT scan synthesis
Pytorch implementation of "Pixcolor:Pixel Recursive Colorization" (in progress)
An AI research project which explores audio synthesis.
Pytorch implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting 🎨
Probabilistic Image Colorization, BMVC 2017
Tensorflow 2 implementation of PixelCNN++.
Tensorflow 2.0 implementation of Deep Autoregressive Models
TensorFlow implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting 🎨
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