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
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
3D VQ-VAE-2 for high-resolution CT scan synthesis
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.
Pytorch implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting 🎨
Tensorflow 2.0 implementation of Deep Autoregressive Models
Pytorch implementation of "Pixcolor:Pixel Recursive Colorization" (in progress)
Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
Probabilistic Image Colorization, BMVC 2017
An AI research project which explores audio synthesis.
Tensorflow 2 implementation of PixelCNN++.
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