cvae

Collection of generative models in Tensorflow

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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

Tensorflow implementation of conditional variational auto-encoder for MNIST

Learning cell communication from spatial graphs of cells

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder

Conditional out-of-distribution prediction

Code for our paper "VaPar Synth - A Variational Parametric Model for Audio Synthesis"

Learning informed sampling distributions and information gains for efficient exploration planning.

Conditional Variational AutoEncoder (CVAE) PyTorch implementation

The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.

Code for Generalization Guarantees for (Multi-Modal) Imitation Learning

CVAE-GPT2 open-domain chatbot

Implementation of a Convolutional Variational Autoencoder in Flux.jl

PyTorch implementation of the conditional variational autoencoder (CVAE) from CodeSLAM

PyTorch implementations of Variational Autoencoder and Conditional Variational Autoencoder

Implementation of the Conditional Variational Auto-Encoder (CVAE) in Tensorflow

An interactive demonstration of using a deep conditional variational autoencoder to generate synthetic MNIST style handwriting digit