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GitHub topics: conditional-variational-autoencoder

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.

Language: Jupyter Notebook - Size: 37 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

unnir/cVAE

Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch

Language: Python - Size: 19.5 KB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 98 - Forks: 20

MrNick-code/EoS

Machine Learning Applied to Relativistic Heavy Ion Collision

Language: Python - Size: 186 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

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.

Language: Python - Size: 3.38 MB - Last synced at: 25 days ago - Pushed at: almost 4 years ago - Stars: 24 - Forks: 7

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.

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ipleiria-ciic/reconstructing-cvae

Reconstructing spatiotemporal data with C-VAEs.

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

MSD-IRIMAS/SVAE-4-HMG

A Supervised VAE Based Gen Model for Human Motion

Language: Python - Size: 45.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

shamim-hussain/conditional_vae

A Simple Conditional Variation Autoencoder

Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - 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

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。

Language: Python - Size: 1.19 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 3

seanie12/Info-HCVAE

[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

Language: Python - Size: 65.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 157 - Forks: 29

ZahraFarahzadii/VAE-CVAE

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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

Darth-Kronos/Image-manipulation-CVAE

Using conditional variational autoencoders to manipulate the images

Language: Jupyter Notebook - Size: 54.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

nphdang/FS-BBT

Black-box Few-shot Knowledge Distillation

Language: Python - Size: 40.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 1

augustwester/vdcvae

A conditional version of the "very deep variational autoencoder" proposed by Rewon Child at OpenAI (2020)

Language: Python - Size: 3.23 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

joycenerd/Deep_Learning_Practice_labs

Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.

Language: Python - Size: 42.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

oelin/conditional-vae 📦

Conditional variational autoencoder implemented in PyTorch.

Language: Jupyter Notebook - Size: 347 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 55.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - 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

Related Keywords
conditional-variational-autoencoder 21 variational-autoencoder 10 machine-learning 8 pytorch 6 deep-learning 4 cvae 4 vae 4 conditional-vae 3 celeba-dataset 2 data-science 2 generative-models 2 python 2 dataset 2 gaussian-mixture-models 2 mnist-dataset 2 generative-ai 2 generative-model 2 black-box 1 image-manipulation 1 spatial-temporal-action-detection 1 black-box-model 1 computer-vision 1 data-augmentation 1 data-generation 1 few-shot 1 few-shot-classification 1 variational-lower-bound 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 affective-computing 1 semi-supervised-learning 1 qa-generation 1 acl2020 1 mnist 1 m-step 1 gmm 1 expectation-maximization 1 em 1 e-step 1 clustering 1 red-ellipses 1 latent-space 1 keras-tensorflow 1 keras 1 green-rectangles 1 deep-neural-networks 1 wgan-gp 1 sagan 1 resnet 1 eegnet 1 eeg-classification 1 dqn 1 diabetic-retinopathy-detection 1 deepconvnet 1 ddqn 1 ddpg 1 cdcgan 1 backpropagation 1 transfer-learning 1 synthetic-images 1 mixup 1 knowledge-distillation 1 few-shot-learning 1 interpolation-methods 1 variational-autoencoders 1 probabilistic-graphical-models 1 bayesian-networks 1 bayesian-inference 1 bayesian 1 vitamin 1 virgo 1 signal-processing 1 physics 1 open-science 1 neutron-star 1 ligo 1 gravity 1 gravitational-waves 1 black-hole 1 tensorflow 1 quark-gluon-plasma 1 quantum-chromodynamics 1 heavy-ion-collisions 1 equation-of-state 1 convolutional-neural-network 1 pytorch-implementation 1 non-dominated-sorting 1 multi-objective-optimization 1 firefly-algorithm 1 catboostregressor 1 voice 1 vits 1 text-to-speech 1