Collection of generative models in Tensorflow

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

Notebooks about Bayesian methods for machine learning

Deep probabilistic analysis of single-cell and spatial omics data

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

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

Next RecSys Library

Tensorflow implementation of variational auto-encoder for MNIST

"Deep Generative Modeling": Introductory Examples

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

Variational autoencoders for collaborative filtering

Experiments for understanding disentanglement in VAE latent representations

PyTorch implementation of normalizing flow models

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

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

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

Stochastic Adversarial Video Prediction