EfficientMORL

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Advanced Deep Learning with Keras, published by Packt

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Vector Quantized VAEs - PyTorch Implementation

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Tensorflow implementation of variational auto-encoder for MNIST

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Pytorch implementation of BERT4Rec and Netflix VAE.

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"