AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Language: Python - Size: 45.4 MB - Last synced at: about 5 hours ago - Pushed at: about 2 months ago - Stars: 7,134 - Forks: 1,125

unkosan/RaptGen-UI

The GUI for RaptGen developed with React and FastAPI

Language: TypeScript - Size: 39.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 0

clementchadebec/benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Language: Python - Size: 42.5 MB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 1,905 - Forks: 174

xuxu-wei/SUAVE

Implementation of a Hybrid Variational Autoencoder (VAE) for label information-guided dimensionality reduction.

Language: Python - Size: 1.34 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 34 - Forks: 3

RGenDiff/open-litevae

Implementation of LiteVAE

Language: Python - Size: 113 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

Shreshth-112/Video-summarization-using-keyframe-extraction

Built a model to create highlights/summary of given video. The results of this study shows that, with a remarkable similarity index(SSIM) of 98%, the recommended technique is quite successful in choosing keyframes that are both educational and distinctive from the original movie

Language: Jupyter Notebook - Size: 112 KB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

lars-chen/3D-VAE

Implementation of 3D convolutional conditional variational autoencoder.

Language: Jupyter Notebook - Size: 4.18 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

GraceSevillano/Advanced-Image-Analysis-Assignments

Solutions for Advanced Image Analysis course assignments, featuring model designs for image summation and generation with MNIST, and style transfer using CycleGAN with MNIST and SVHN datasets.

Language: Jupyter Notebook - Size: 158 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shreyansh26/Sentence-VAE

A re-implementation of the Sentence VAE paper, Generating Sentences from a Continuous Space

Language: Python - Size: 35 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

sathya-ml/multimodal-vrnn-vae

A PyTorch implementation of multimodal VRNN and VAE.

Language: Python - Size: 26.4 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

xinli2008/VAE_from_scratch

Pytorch版本实现的VAE和公式推导

Language: Python - Size: 1.54 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Resh-97/MixSeq-Connecting-Macroscopic-Time-Series-Forecasting-with-Microscopic-Time-Series-Data

Testing the Reproducibility of the paper: MixSeq. Under the assumption that macroscopic time series follow a mixture distribution, they hypothesise that lower variance of constituting latent mixture components could improve the estimation of macroscopic time series.

Language: Jupyter Notebook - Size: 93.8 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Tumuluri007/Generative-Models

Encoder and Decoder in VAE's.

Language: Jupyter Notebook - Size: 589 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

insdout/GMVAE-pytorch

Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE

Language: Python - Size: 5.27 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

meiyulee/continuous_Bernoulli

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

Language: C++ - Size: 47.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 3

animesh-007/Basic_VAE_implementation

Basic implementation of VAE

Language: Python - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

vsimkus/pmr2024-vae

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: about 1 hour ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 4

trinity652/VAE-Face-generator

A sample face generation project to enhance my understanding of VAEs

Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

HariKrishnan06082k/Robot-Learning-for-Planning-and-Control

Topics include function approximation, learning dynamics, using learned dynamics in control and planning, handling uncertainty in learned models, learning from demonstration, and model-based and model-free reinforcement learning.

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ayseirmak/Chatter-Detection

Utilized a VAE (Variational Autoencoder) and CGAN (Conditional Generative Adversarial Network) models to generate synthetic chatter signals, addressing the challenge of imbalanced data in turning operations. Compared othe performance of synthetic chatter signals.

Language: Jupyter Notebook - Size: 516 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

cankobanz/VAE-and-GAN-training-on-MNIST-dataset

Handwritten Digit Generation with VAE and GAN are applied.

Language: Python - Size: 11.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ajeyamk/causalvae Fork of robertness/causalvae

Language: Jupyter Notebook - Size: 41.4 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

DelTA-Lab-IITK/PDUN

Probabilistic framework for solving Visual Dialog

Size: 21 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

UW-CIA/Models_at_edge

Running VAEs on mobile and IOT devices using TFLite.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Baukebrenninkmeijer/Variational-Autoencoder-Pytorch

Implementation of the variational autoencoder with PyTorch and Fastai

Language: Jupyter Notebook - Size: 140 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2

dikshantsagar/VAE-pytorch

An implementation of Variational Auto-encoder with TSNE Visualization on MNIST dataset.

Language: Jupyter Notebook - Size: 318 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

WindowsKonon1337/VAE-Face-Generator

Simple VAE face generator

Language: Jupyter Notebook - Size: 282 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

raulorteg/SmileCVAE

Implementation of CVAE. Trained CVAE on faces from UTKFace Dataset to produce synthetic faces with a given degree of happiness/smileyness.

Language: Python - Size: 114 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

manikanta5557/Variational-Auto-Encoders-Mnist

A simple implementation of variational Auto encoders using Mnist dataset in tensorflow.

Language: Jupyter Notebook - Size: 9.52 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nandiniigarg/ColorVAE

ColorVAE is a Vanilla Auto Encoder (V.A.E.) which can be used to add colours to black and white images.

Language: Jupyter Notebook - Size: 9.09 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

lovelyscientist/rna-seq-vae

Synthetic gene expression data generation using Variational Auto-Encoder

Language: Python - Size: 9.16 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 4

ayulockin/deepgenerativemodeling

Towards Generative Modeling from (variational) Autoencoder to DCGAN

Language: Jupyter Notebook - Size: 897 KB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

AmanPriyanshu/SynthesizeDaten

A repository for generating synthetic data (images) using various DL/ML models.

Language: Python - Size: 15.8 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ioangatop/DeepGenerativeModels

Variational Auto Encoders (VAEs), Generative Adversarial Networks (GANs) and Generative Normalizing Flows (NFs) and are the most famous and powerful deep generative models.

Language: Python - Size: 100 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

keya-desai/Natural-Language-Processing

Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

Language: Python - Size: 15 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

julian-carpenter/beta-TCVAE

Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).

Language: Python - Size: 22.5 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 0

amerotz/latent-representations-for-traditional-music-analysis-and-generation

This repository contains the code, data and scripts used to write the Bachelor Thesis "Latent representations for traditional music analysis and generation".

Language: Python - Size: 33.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

prkhrv/Variational-Auto-Encoders-VAEs

A variational autoencoder can be defined as being an autoencoder whose training is regularised to avoid overfitting and ensure that the latent space has good properties that enable generative process.

Language: Jupyter Notebook - Size: 771 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

yakhyo/VAE

Implementation of Auto-Encoding Variational Bayes using PyTorch

Language: Python - Size: 53.7 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

alicika/MLExamination

The CNN implementation to qualify images. This repo also contains Japanese coin validation(with binaries) and MNIST challenge detection.

Language: Python - Size: 62.9 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

bmanczak/dl_practicals

This repo is devoted to the pracicals of the course Deep Learning (5204DLFV6Y) realised at the Univeristy of Amsterdam, Fall 2020.

Language: TeX - Size: 18.7 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

TimoFlesch/Autoencoders

Autoencoders (Standard, Convolutional, Variational), implemented in tensorflow

Language: Python - Size: 24.4 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

SwikarGautam/VAE

Variational Autoencoder (VAE) trained on MNIST

Language: Python - Size: 492 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

kleinzcy/Variational-AutoEncoder

VAE and CVAE pytorch implement based on MNIST

Language: Jupyter Notebook - Size: 953 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

DrLux/VAE-on-VizdoomTakeCover

Convolutional Variational Autoencoder on VizdoomTakeCover

Language: Jupyter Notebook - Size: 38 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0