Machine learning, in numpy

A Collection of Variational Autoencoders (VAE) in PyTorch.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Collection of generative models in Tensorflow

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

Advanced Deep Learning with Keras, published by Packt

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

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

VPoser: Variational Human Pose Prior

Vector Quantized VAEs - PyTorch Implementation

List of Molecular and Material design using Generative AI and Deep Learning

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Experiments for understanding disentanglement in VAE latent representations

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

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

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 implementation of β-VAE