conditional-vae
There are 19 repositories under conditional-vae topic.
hwalsuklee/tensorflow-mnist-CVAE
Tensorflow implementation of conditional variational auto-encoder for MNIST
claude-zhou/MojiTalk
Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
UttaranB127/STEP
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
visinf/cos-cvae
Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)
chendaichao/VAE-pytorch
Pytorch implementation for VAE and conditional VAE.
visinf/lnfmm
Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)
terencetaothucb/CVAE-Rapid-SOH-Estimation-for-Retired-Batteries-Using-Generated-Data
Code for PulseBat dataset. We use conditional variational autoencoder to generate sufficient pulse voltage response data across random battery SOC retirement conditions, facilitating rapid, accurate and sustainable downstream SOH estimation tasks.
mahindrautela/CLARM
Conditional Latent Autoregressive Recurrent Model (CLARM) for learning spatiotemporal dynamics
gozsoy/conditional-vae
Tensorflow implementation of 'Conditional Variational Autoencoder' concept
Shiva18A/Variational-Autoencoder-Family
PyTorch implementation of various Variational Autoencoder models
ALPHAYA-Japan/vae
a collection of variational autoencoders
sungsujaing/letter_digit_generator_VAE
generate arbitrary handwritten letter/digits based on the inputs
alhomayani/Oversampling_BLE_fingerprints
The computing scripts associated with our paper entitled "Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models".
ChuaCheowHuan/bayesian_ML
Bayesian based machine learning implementations (GMM, VAE & conditional VAE).
Lin-TzuLing/NYCU-DLP-2023
Deep Learning & Labs Course, NYCU, 2023
ra890927/NYCU_Deep_Learning
NYCU Deep Learning and Practice Summer 2023
rmgogogo/nano-aigc
Generative models nano version for fun. No STOA here, nano first.
ericyangchen/conditional-VAE-for-video-prediction
Implementing a Conditional VAE for video prediction with PyTorch
zhongpeixiang/CVAE_Dialogue_System
A PyTorch implementation of neural dialogue system using conditional variational autoencoder (CVAE)