Collection of generative models in Tensorflow

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

Deep probabilistic analysis of single-cell and spatial omics data

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

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

Next RecSys Library

Experiments for understanding disentanglement in VAE latent representations

PyTorch implementation of normalizing flow models

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Tensorflow implementation of variational auto-encoder for MNIST

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Open-AI's DALL-E for large scale training in mesh-tensorflow.

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Lstm variational auto-encoder for time series anomaly detection and features extraction

Stochastic Adversarial Video Prediction

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Tensorflow implementation of Hyperspherical Variational Auto-Encoders