conditional-variational-autoencoder

There are 2 repositories under conditional-variational-autoencoder topic.

seanie12 / Info-HCVAE
[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
acl2020 conditional-variational-autoencoder qa-generation semi-supervised-learning
Language:Python 178
unnir / cVAE
Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch
conditional-variational-autoencoder cvae pytorch pytorch-implementation
Language:Python 119
UttaranB127 / STEP
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
graph-convolutional-networks graph-convolutional-neural-networks spatial-temporal-action-detection emotion-recognition gait gait-recognition affective-computing emotion-perception emotion-detection gait-analysis variational-autoencoder conditional-vae conditional-variational-autoencoder dataset-generation dataset
Language:Python 79
Hecate2 / sukasuka-vocal-dataset-builder
すかすかアニメボカロデータセット。1st anime vocal dataset. Extract audio (vocal) files from video based on .ass subtitle files; manually label vocal files to characters. Will be used for PITS/VITS/Diffusion text-to-speech/SVC. 根据字幕，从视频里抽取全部语音，然后手动按角色标注。
anime conditional-variational-autoencoder dataset sukasuka text-to-speech vits voice diffusion
Language:Python 48
hagabbar / vitamin_c
This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wave posterior samples.
machine-learning gravitational-waves conditional-variational-autoencoder data-science gravity physics ligo vitamin virgo black-hole neutron-star signal-processing open-science
Language:Python 26
nphdang / FS-BBT
Black-box Few-shot Knowledge Distillation
black-box black-box-model computer-vision conditional-variational-autoencoder cvae data-augmentation data-generation deep-learning few-shot few-shot-classification few-shot-learning generative-model knowledge-distillation machine-learning mixup synthetic-images transfer-learning
Language:Python 13
joycenerd / Deep_Learning_Practice_labs
Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.
backpropagation eegnet deepconvnet eeg-classification diabetic-retinopathy-detection resnet conditional-variational-autoencoder sagan cdcgan wgan-gp dqn ddpg ddqn pytorch
Language:Python 9
augustwester / vdcvae
A conditional version of the "very deep variational autoencoder" proposed by Rewon Child at OpenAI (2020)
deep-learning pytorch variational-autoencoder conditional-variational-autoencoder
Language:Python 6
MSD-IRIMAS / SVAE-4-HMG
A Supervised VAE Based Gen Model for Human Motion
conditional-variational-autoencoder generative-ai generative-models human-motion human-motion-analysis human-motion-generation variational-autoencoder
Language:Python 5
Darth-Kronos / Image-manipulation-CVAE
Using conditional variational autoencoders to manipulate the images
celeba-dataset conditional-variational-autoencoder generative-model image-manipulation
Language:Jupyter Notebook 4
Shiva18A / Variational-Autoencoder-Family
PyTorch implementation of various Variational Autoencoder models
pytorch vae vae-cnn vae-pytorch variational-autoencoder conditional-vae conditional-variational-autoencoder cifar-10 mnist-dataset celeba-dataset celeba-hq
Language:Jupyter Notebook 4
ChuaCheowHuan / bayesian_ML
Bayesian based machine learning implementations (GMM, VAE & conditional VAE).
clustering conditional-vae conditional-variational-autoencoder cvae e-step em expectation-maximization gaussian-mixture-models gmm m-step mnist vae variational-autoencoder variational-lower-bound
Language:Jupyter Notebook 2
ipleiria-ciic / reconstructing-cvae
Reconstructing spatiotemporal data with C-VAEs.
conditional-variational-autoencoder interpolation-methods moving-regions shape-based spatio-temporal-data variational-autoencoder wkt
Language:Jupyter Notebook 1
mleming / CVAE-Toy-Example
Toy example for a Conditional Variational Autoencoder in Keras. Regresses features from automatically generated images. Useful for learning about the concept.
deep-learning deep-neural-networks machine-learning variational-autoencoder conditional-variational-autoencoder green-rectangles red-ellipses latent-space keras keras-tensorflow python
Language:Python 1
MrNick-code / EoS
Machine Learning Applied to Relativistic Heavy Ion Collision
conditional-variational-autoencoder convolutional-neural-network equation-of-state heavy-ion-collisions machine-learning pytorch quantum-chromodynamics quark-gluon-plasma tensorflow variational-autoencoder
Language:Python 1
Rajputsiddharth / ResNet-style-Denoising-and-Variational-AutoEncoders
ResNet-style Autoencoders: Implementing and training AEs, VAEs, and CVAEs on provided dataset with TSNE visualizations.
autoencoder conditional-variational-autoencoder deep-learning mnist python resnet variational-autoencoder
Language:Python 1
shamim-hussain / conditional_vae
A Simple Conditional Variation Autoencoder
vae tensorflow2 conditional-variational-autoencoder mnist-dataset
Language:Jupyter Notebook 1
hericks / jax-cvae
Conditional Variational Autoencoder (CVAE) implementation in JAX (accelerated).
conditional-variational-autoencoder cvae jax mnist vae variational-autoencoder
Language:Python 0
ZahraFarahzadii / VAE-CVAE
conditional-variational-autoencoder deep-learning variational-autoencoder
Language:Jupyter Notebook 0
oelin / conditional-vae
Conditional variational autoencoder implemented in PyTorch.
cvae machine-learning pytorch vae variational-autoencoder conditional-variational-autoencoder data-science
Language:Jupyter Notebook
quoccuongLE / ml-playground
ML code playground
adversarial-autoencoder adversarial-machine-learning conditional-variational-autoencoder pytorch vae variational-autoencoder
Language:Python
rodri-santos / APRP-2024
Implementação de modelos probabilísticos e generativos no âmbito da cadeira Aprendizagem Probabilística e Reconhecimento de Padrões do 2.º semestre de 2023/2024 do 3º ano da Licenciatura em Engenharia e Ciência de Dados no DEI - Universidade de Coimbra.
bayesian bayesian-inference bayesian-networks conditional-variational-autoencoder generative-models machine-learning probabilistic-graphical-models python variational-autoencoders
Language:Jupyter Notebook
spsingh37 / Unsupervised-learning
This repo contains implementations of key unsupervised learning techniques, including image compression (K-means, GMM), PCA for Eigenfaces, ICA for audio separation, and CVAE for MNIST generation. It's a resource for understanding and applying foundational algorithms.
audio-separation conditional-variational-autoencoder eigenfaces expectation-maximization-algorithm gaussian-mixture-models image-compression independent-component-analysis k-means-clustering machine-learning mnist-data principal-component-analysis unsupervised-learning
Language:Jupyter Notebook
teibokchyne / Generative-AI-and-Optimisation-Framework-for-Sustainable-Concrete-Mix-Design
This repository contains all materials related to my Master's Thesis titled "Generative Artificial Intelligence and Optimisation Framework for Sustainable Concrete Mixture Design", including the thesis report, presentations, research papers, dataset, and associated code files used for experiments and analysis.
catboostregressor conditional-variational-autoencoder firefly-algorithm generative-ai machine-learning multi-objective-optimization non-dominated-sorting
Language:Jupyter Notebook