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GitHub topics: conditional-vae

rmgogogo/nano-aigc

Generative models nano version for fun. No STOA here, nano first.

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Lin-TzuLing/NYCU-DLP-2023

Deep Learning & Labs Course, NYCU, 2023

Language: Jupyter Notebook - Size: 82.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

visinf/lnfmm

Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)

Language: Python - Size: 1000 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 33 - Forks: 12

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.

Language: Python - Size: 2.42 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

visinf/cos-cvae

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

Language: Jupyter Notebook - Size: 116 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 37 - Forks: 7

hwalsuklee/tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST

Language: Python - Size: 590 KB - Last synced at: about 2 months ago - Pushed at: about 8 years ago - Stars: 150 - Forks: 41

mahindrautela/CLARM

Conditional Latent Autoregressive Recurrent Model for spatiotemporal learning

Size: 14 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Shiva18A/Variational-Autoencoder-Family

PyTorch implementation of various Variational Autoencoder models

Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

alhomayani/Oversampling_BLE_fingerprints

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

Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

claude-zhou/MojiTalk

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

Language: Python - Size: 70.3 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 123 - Forks: 22

ra890927/NYCU_Deep_Learning

NYCU Deep Learning and Practice Summer 2023

Language: Python - Size: 67.5 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

UttaranB127/STEP

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Language: Python - Size: 54.6 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 52 - Forks: 14

gozsoy/conditional-vae

Tensorflow implementation of 'Conditional Variational Autoencoder' concept

Language: Python - Size: 3.52 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ChuaCheowHuan/bayesian_ML

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

Language: Jupyter Notebook - Size: 813 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

sungsujaing/letter_digit_generator_VAE

generate arbitrary handwritten letter/digits based on the inputs

Language: Jupyter Notebook - Size: 74.4 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

zhongpeixiang/CVAE_Dialogue_System

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

Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Related Keywords
conditional-vae 16 variational-autoencoder 10 vae 8 deep-learning 3 cvae 3 conditional-variational-autoencoder 3 pytorch 3 latent-variable-models 2 dqn 2 generative-ai 2 ddpm 2 ddpg 2 autoencoder 2 dialog 2 mnist 2 tensorflow 2 vae-pytorch 1 affective-computing 1 resnet 1 python 1 eegnet 1 adasyn 1 bluetooth-low-energy 1 reinforcement-learning 1 fingerprinting 1 oversampling 1 natural-language-generation 1 emotional-intelligence 1 emoji 1 dialogue-generation 1 mnist-dataset 1 recurrence-plot 1 vae-cnn 1 smote 1 nlp 1 dialogue-systems 1 conversational-agents 1 tensorflow-keras 1 emnist-dataset 1 convolutional-cvae 1 beta-vae 1 variational-lower-bound 1 m-step 1 gmm 1 gaussian-mixture-models 1 expectation-maximization 1 em 1 e-step 1 clustering 1 spatial-temporal-action-detection 1 graph-convolutional-neural-networks 1 graph-convolutional-networks 1 gait-recognition 1 gait-analysis 1 gait 1 emotion-recognition 1 emotion-perception 1 emotion-detection 1 dataset-generation 1 dataset 1 cifar-10 1 dqn-pytorch 1 diabetic-retinopathy-detection 1 deep-neural-networks 1 ddpg-pytorch 1 backward-propagation 1 2048-game 1 vq-vae 1 vit 1 rope 1 rmsnorm 1 multiqueryattention 1 llama2 1 llama 1 latent-diffusion 1 huggingface 1 gpt2 1 gemma 1 gan 1 diffusion 1 ddim 1 conditional-diffusion 1 clip 1 bert 1 celeba-hq 1 celeba-dataset 1 spatiotemporal-data 1 lstms 1 forecasting 1 autoregressive-model 1 accelerator-physics 1 variational-inference 1 denoising-images 1 denoising-autoencoders 1 denoising 1 conditional 1 neurips2020 1 image-captioning 1 stateestimation 1 retiredbatteries 1