Machine learning, in numpy

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

A Collection of Variational Autoencoders (VAE) in PyTorch.

Collection of generative models in Tensorflow

Advanced Deep Learning with Keras, published by Packt

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

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

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

Vector Quantized VAEs - PyTorch Implementation

VPoser: Variational Human Pose Prior

Experiments for understanding disentanglement in VAE latent representations

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

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

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

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

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

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

Pytorch implementation of β-VAE