conditional-vae

Tensorflow implementation of conditional variational auto-encoder for MNIST

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

Pytorch implementation for VAE and conditional VAE.

a collection of variational autoencoders

generate arbitrary handwritten letter/digits based on the inputs

The computing scripts associated with our paper entitled "Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models".

Bayesian based machine learning implementations (GMM, VAE & conditional VAE).

A PyTorch implementation of neural dialogue system using conditional variational autoencoder (CVAE)

Tensorflow implementation of 'Conditional Variational Autoencoder' concept