40 results for “topic:pixelcnn”
in progress
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
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
PyTorch implementation of gated PixelCNN
WaveNet implementation with chainer
3D VQ-VAE-2 for high-resolution CT scan synthesis
Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
Pytorch implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting :art:
Pytorch implementations of the PixelCNN (va Oord et al. 2016) and PixelVAE (Gulrajani et al. 2016) models
Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
Tensorflow 2.0 implementation of Deep Autoregressive Models
Pytorch implementation of "Pixcolor:Pixel Recursive Colorization" (in progress)
Probabilistic Image Colorization, BMVC 2017
An AI research project which explores audio synthesis.
Tensorflow 2 implementation of PixelCNN++.
Gated PixelCNN implementation in pytorch
Pytorch implementatiions of the Homeworks in course CS294-158
Research on Image Compression using Deep Neural Networks
TensorFlow implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting :art:
cVAE, VQ-VAE, VQ-VAE2, cVAE-cGAN, PixelCNN and Gated PixelCNN in tensorflow 2.x and keras
Training PixelCNN on Flickr8k Images
Repository for machine learning proyects with tensorflow
Coursework and projects for Deep Generative Models(DGM) course(Graduate), including theoretical homework solutions/problems, final solution/problems and the project of the course
implementation of VQVAE in pytorch
Presentation slides relevant to invited and contributed talks