variational-autoencoders

elaloy/VAE_MCMC

Inversion with a VAE-based low-dimensional parameterization for complex geologic priors (Python 2.7)

Ankit-Kumar-Saini/Coursera_TensorFlow_Advanced_Techniques_Specialization

Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

dingran/vae-mxnet

MXNet/Gluon implementation of the original (Gaussian) Variational Autoencoders (VAE)

DongjunLee/vae-tensorflow

TensorFlow implementation of Auto-Encoding Variational Bayes.

superMDguy/Variational-Recurrent-Autoencoder-Tensorflow

A tensorflow implementation of "Generating Sentences from a Continuous Space"

MaxinAI/amld2020-workshop

This repo contains workshop material for Applied Machine Learning Days 2020 conference

respeecher/vae_workshop

Code to replicate results from the VAE workshop at ODSC 2018 Kyiv. It's still work in progress

ChenWu98/Coupled-VAE

Code for the ACL 2020 paper ``On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond``

navigator8972/vae_assoc

Associative Variational Auto-encoders

nghorbani/CNN_Implementations

Data and Trained models can be downloaded from https://goo.gl/7PrKD2

Baukebrenninkmeijer/Variational-Autoencoder-Pytorch

Implementation of the variational autoencoder with PyTorch and Fastai

gurbaaz27/cs690a-clustering-spatial-transcriptomics-data

Course Assignment on Clustering of Spatial Transcriptomics Data

lakmalnd/SimpleVAE

This repository provides implementation simplified Variational Autoencoder (VAE), producing smooth latent space completely unsupervised manner. And this can be used as generative model as well.

myeonghak/VAE_recommender_system

VAE(Variational AutoEncoder) Recsys example using tensorflow

PsycheShaman/MSc-thesis

Masters in Data Science Thesis: University of Cape Town (VLJCHR004)

stephwen/ML_RNA-Seq

Additional files for our research article (DOI: 10.3389/fgene.2018.00297)

artsobolev/dvaes

Implementation of different approaches to train Discrete Variational Autoencoders

BioImageInformatics/tfmodels

crypto-code/Variational-Autoencoder

Use a VAE to generate all new pokemons

gucci-j/vae

This is the implementation of variational autoencoders (VAE) written in Python 3.6 with Keras.

j-min/generative_models

PyTorch Implementations of Generative models

RayanAAY-ops/Variational-Autoencoder-For-Satellite-Imagery

This is my implementation of a special Variational Autoencoder under TF 2.0, which make it possible to squeeze N images to generate one single representation of all the dataset with colors segmentation of the difference objects

stanleykywu/federated-autoencoders

Use federated learning to train variational auto-encoders on disjoint distributions

AdityaTheDev/FaceGenerationUsingVariationalAutoencoder

VARIATIONAL AUTOENCODERS are Generative model. A Generative Model is a powerful way of learning any kind of data distribution using unsupervised learning and it has achieved tremendous success over the past few years.

bvpsk/Variational-Auto-Encoder-VAE-

Implementing VAE in keras and training on CelebA dataset

EdoardoBotta/Gaussian-Mixture-VAE

[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables inspired from "Categorical Reparameterization with Gumbel-Softmax".

federicobergamin/Variational-Autoencoders-in-Julia

Implementation of "Auto-Encoding Variational Bayes" by Kingma and Welling, 2014 in Julia [VAE in Julia]. Still working on it.

mijanr/Synthesis-Studio

GANs, AEs, and VAEs for generating synthetic images

shaharpit809/Deep-Learning-Models

This repository consists of application of Deep Learning Models like DNN, CNN (1D and 2D), RNN (LSTM and GRU) and Variational Autoencoders written from scratch in tensorflow.

AuditoryVO/VAE2Sound

Stellar spectra-driven latent space sonification using a variational autoencoder. 3D Sound spatialization in 360 degrees.

group9ine/variational-autoencoders

Final project for the course “Laboratory of Computational Physics” from the MSc in Physics of Data

kaledhoshme123/Use-Conditional-Variational-Autoencoders-to-extract-important-information

The study relied on conditional Variational Autoencoders to generate x-ray images, so that we can be able to regenerate the images according to the most important information that the x-ray images can contain (important information extraction).

karinazad/salvaedor-dali

Generate classical paintings using Variational Autoencoders (VAEs).

mattiabr1/variational-bayes

Algorithms for inference in Gaussian Mixture Models.

weichengv/HEBAE

Hierarchical Empirical Bayes Auto-Encoder