GitHub topics: variational-autoencoders
ScyPyna/NPG_representation_learning
Nanoporous Graphene (NPG) investigation via deep learning
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js05212/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
Size: 454 KB - Last synced at: 9 days ago - Pushed at: 7 months ago - Stars: 514 - Forks: 62

pycroscopy/atomai
Deep and Machine Learning for Microscopy
Language: Python - Size: 194 MB - Last synced at: 8 days ago - Pushed at: 11 days ago - Stars: 212 - Forks: 40

AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Language: Python - Size: 45.4 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 7,151 - Forks: 1,130

giuliofantuzzi/ies2025
Code to replicate the experiments from the short paper "Towards Smarter Player Scouting: Learning Football Player Embeddings with Variational Autoencoders (VAEs)", by Giulio Fantuzzi, Leonardo Egidi and Nicola Torelli, submitted to IES 2025.
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domenicostefani/morphdrive
Language: Python - Size: 204 MB - Last synced at: 9 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

greenelab/tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
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panos-gbio/Proteomics-in-Latent-Space
Repository for my MSc thesis project in Scilifelab - Proteoform Networks Reconstruction using Variational Autoencoder and Random forest classifiers
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FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
Size: 32 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 390 - Forks: 32

ajbrock/Generative-and-Discriminative-Voxel-Modeling
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
Language: Python - Size: 462 MB - Last synced at: about 2 months ago - Pushed at: over 8 years ago - Stars: 209 - Forks: 63

caetas/GenerativeZoo
Model Zoo for Generative Models.
Language: Python - Size: 5.85 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 26 - Forks: 2

EdoardoBotta/RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Language: Python - Size: 123 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 135 - Forks: 16

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.
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mattiabr1/variational-bayes
Algorithms for inference in Gaussian Mixture Models.
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artsobolev/dvaes
Implementation of different approaches to train Discrete Variational Autoencoders
Language: Python - Size: 28.3 KB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0

cavaunpeu/flight-delays
Transfer learning for flight-delay prediction via variational autoencoders in Keras
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jmtomczak/vae_vampprior
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Language: Python - Size: 1.27 MB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 227 - Forks: 49

yjlolo/pytorch-deep-markov-model
PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]
Language: Python - Size: 223 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 24 - Forks: 1

crypto-code/Variational-Autoencoder
Use a VAE to generate all new pokemons
Language: Python - Size: 129 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

PratikHdhameliya/Variational_Autoencoder_for_Deep_Generative_Modeling
Variational Autoencoder (VAE) project using PyTorch, showcasing generative modeling through Fashion MNIST data encoding, decoding, and latent space exploration. Explore tasks like model implementation, training, visualization, and image generation.
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XiaoyuBIE1994/DVAE_SE
Unsupervised speech enhancement using DVAEs
Language: Python - Size: 18.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 20 - Forks: 3

automl/SVGe
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Language: Python - Size: 10.9 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 0

elaloy/VAE_MCMC
Inversion with a VAE-based low-dimensional parameterization for complex geologic priors (Python 2.7)
Language: Visual Basic - Size: 4.17 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 10 - Forks: 4

SimonKohl/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
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jgvfwstone/ArtificialIntelligenceEngines
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Language: Python - Size: 3.57 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 59 - Forks: 15

biomedia-mira/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
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hoangcuong2011/Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
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trungnt13/odin-ai
Orgainzed Digital Intelligent Network (O.D.I.N)
Language: Python - Size: 7.02 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 11

PsycheShaman/MSc-thesis
Masters in Data Science Thesis: University of Cape Town (VLJCHR004)
Language: Python - Size: 1.69 GB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1

bvpsk/Variational-Auto-Encoder-VAE-
Implementing VAE in keras and training on CelebA dataset
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alisiahkoohi/fvae
Code to partially reproduce results in "Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders"
Language: Python - Size: 8.23 MB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

werefin/Deep-Learning-Homeworks
Deep Learning homeworks (UniPD)
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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.
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EdoardoBotta/Gaussian-Mixture-VAE
[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables.
Language: Python - Size: 25.4 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

ericmjl/flu-sequence-predictor
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
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guglielmocamporese/cvaecaposr
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
Language: Python - Size: 2.33 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 42 - Forks: 8

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

pemami4911/genesis.pytorch
Unofficial PyTorch implementation of GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Language: Python - Size: 166 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

mijanr/Synthesis-Studio
GANs, AEs, and VAEs for generating synthetic images
Language: Python - Size: 135 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 3

raymonddeng99/fantasia
Generative neurosymbolic machines
Language: OCaml - Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

amit2014/A2ZDataScience
This GitHub repository provides a structured path for going from beginner to advanced in data science, machine learning, and specifically - generative AI.
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07Agarg/Unsupervised-Learning
This repository contains Autoencoders, Variational Autoencoders and GANS-Unsupervised Models developed for MNIST Dataset in Tensorflow and PyTorch.
Language: Python - Size: 85.2 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

AuditoryVO/VAE2Sound
Stellar spectra-driven latent space sonification using a variational autoencoder. 3D Sound spatialization in 360 degrees.
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EugenHotaj/pytorch-generative
Easy generative modeling in PyTorch.
Language: Python - Size: 53.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 366 - Forks: 59

navigator8972/vae_assoc
Associative Variational Auto-encoders
Language: Python - Size: 966 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 3

dhanushkamath/VariationalAutoencoder
An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 12

XiaoyuBIE1994/DVAE
Official implementation of Dynamical VAEs
Language: Python - Size: 30.6 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 171 - Forks: 32

zfountas/deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
Language: Python - Size: 12.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 59 - Forks: 11

ivallesp/VAE
Variational Autoencoders simple implementation
Language: Python - Size: 2.17 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

vinutah/UGAN
UofU GANS
Language: Jupyter Notebook - Size: 644 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 2

Baukebrenninkmeijer/Variational-Autoencoder-Pytorch
Implementation of the variational autoencoder with PyTorch and Fastai
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ChenWu98/Coupled-VAE
Code for the ACL 2020 paper ``On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond``
Language: Python - Size: 441 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

kaledhoshme123/Probabilistic-U-Net-Segmentation-Ambiguous-Images-
People with pulmonary disease often have a high opacity, which makes segmentation of the lung from chest X-rays more difficult. In this study, I propose a methodology to improve the performance of the U-NET structure so that it is able to extract the features and spatial characteristics of the X-ray images of the chest region.
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eleGAN23/QVAE
Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
Language: Python - Size: 1.29 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 4

gulbord/variational-autoencoders
Final project for the course “Laboratory of Computational Physics” from the MSc in Physics of Data
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kirle/CelebA_FaceGeneration
Using VAEs and GANs to understand how to generate images, over the CelebA dataset
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gurbaaz27/cs690a-clustering-spatial-transcriptomics-data
Course Assignment on Clustering of Spatial Transcriptomics Data
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Marcelaus98/CfC-for-Material-Science
Research on Material Science using Neural Networks black box approach
Language: Python - Size: 43.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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).
Language: Jupyter Notebook - Size: 3.96 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

VGraphRNN/VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
Language: Python - Size: 9.55 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 95 - Forks: 31

georgosgeorgos/hierarchical-few-shot-generative-models
Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022
Language: Python - Size: 5.99 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

dingran/vae-mxnet
MXNet/Gluon implementation of the original (Gaussian) Variational Autoencoders (VAE)
Language: Jupyter Notebook - Size: 6.65 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 4

LynnHo/VAE-Tensorflow 📦
(beta-)VAE Tensorflow
Language: Python - Size: 582 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 48 - Forks: 17

addtt/ladder-vae-pytorch
Ladder Variational Autoencoders (LVAE) in PyTorch
Language: Python - Size: 27.9 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 67 - Forks: 9

myeonghak/VAE_recommender_system
VAE(Variational AutoEncoder) Recsys example using tensorflow
Language: Jupyter Notebook - Size: 173 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

federicobergamin/Variational-Autoencoders
Personal implementation of a simple VAE in PyTorch as described in "Auto-Encoding Variational Bayes" [Kingma, Welling, 2014]
Language: Python - Size: 42.5 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

jmtomczak/vae_householder_flow
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Language: Python - Size: 66.7 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 72 - Forks: 13

eelxpeng/UnsupervisedDeepLearning-Pytorch
This repository tries to provide unsupervised deep learning models with Pytorch
Language: Python - Size: 22.6 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 83 - Forks: 26

xxl4tomxu98/autoencoder-feature-extraction
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
Language: Jupyter Notebook - Size: 90.1 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1

M-Elfeki/GDPP
Generator loss to reduce mode-collapse and to improve the generated samples quality.
Language: Python - Size: 4.13 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 32 - Forks: 4

MaxinAI/amld2020-workshop
This repo contains workshop material for Applied Machine Learning Days 2020 conference
Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 5

respeecher/vae_workshop
Code to replicate results from the VAE workshop at ODSC 2018 Kyiv. It's still work in progress
Language: Jupyter Notebook - Size: 9.55 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 4

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.
Language: Jupyter Notebook - Size: 53.9 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 4

zongdaoming/LCBM
This is the code implementations for LCBM
Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

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
Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

karinazad/salvaedor-dali
Generate classical paintings using Variational Autoencoders (VAEs).
Language: Python - Size: 831 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

stanleykywu/federated-autoencoders
Use federated learning to train variational auto-encoders on disjoint distributions
Language: Python - Size: 11.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

zotroneneis/deep_music
Recurrent neural network in TensorFlow for generating novel monophonic melodies.
Language: Jupyter Notebook - Size: 82.8 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 4

VictorZXY/function-autoencoder
Investigative project for my CST Part III Probabilistic Machine Learning (LE49) module
Language: Python - Size: 32.2 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

superMDguy/Variational-Recurrent-Autoencoder-Tensorflow Fork of Chung-I/Variational-Recurrent-Autoencoder-Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Language: Python - Size: 2.77 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

VictorZXY/probml-exercises
Exercises of my CST Part III Probabilistic Machine Learning (LE49) module
Language: Jupyter Notebook - Size: 5.73 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

weichengv/HEBAE
Hierarchical Empirical Bayes Auto-Encoder
Language: Python - Size: 4.42 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

kevinjoseph1995/variational-autoencoder-Eager-Execution
A variational autoencoder model trained on the MNIST dataset using Tensorflow's Eager Execution
Language: Python - Size: 15.7 MB - Last synced at: 9 days ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

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.
Language: Jupyter Notebook - Size: 9.64 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

nghorbani/CNN_Implementations
Data and Trained models can be downloaded from https://goo.gl/7PrKD2
Language: Jupyter Notebook - Size: 176 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

DongjunLee/vae-tensorflow
TensorFlow implementation of Auto-Encoding Variational Bayes.
Language: Python - Size: 679 KB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 2

HannesStark/bachelorThesis
TensorFlow code and LaTex for Bachelor Thesis: Understanding Variational Autoencoders' Latent Representations of Remote Sensing Images :earth_africa:
Language: TeX - Size: 149 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

stephwen/ML_RNA-Seq
Additional files for our research article (DOI: 10.3389/fgene.2018.00297)
Language: R - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 1

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.
Language: Jupyter Notebook - Size: 992 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 3

yjchoe/alphaGAN
A PyTorch implementation of alpha-GAN
Language: Python - Size: 31.3 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 15 - Forks: 6

lordtt13/VAE
Every Variational Autoencoder that I have encountered in Keras
Language: Python - Size: 378 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

wmkouw/vae-fg
A variational autoencoder node for factor-graphs.
Language: Jupyter Notebook - Size: 382 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

BioImageInformatics/tfmodels
Language: Python - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 3

siddharth17196/Variational-Autoencoders
Genarating new MNIST images using VAE's
Language: Jupyter Notebook - Size: 2.89 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

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.
Language: Julia - Size: 73.2 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

gdikov/adversarial-variational-bayes
A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.
Language: Python - Size: 1.2 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 11 - Forks: 4

ondrejbiza/vae
Variational autoencoders implemented in Tensorflow.
Language: Python - Size: 884 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

gucci-j/vae
This is the implementation of variational autoencoders (VAE) written in Python 3.6 with Keras.
Language: Python - Size: 5.59 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 0

ArunAniyan/Radio-VAE
Variational Autoencoding for Radio Galaxies
Language: Python - Size: 12.8 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

j-min/generative_models
PyTorch Implementations of Generative models
Language: Python - Size: 35.2 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1
