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GitHub topics: variational-autoencoders

ScyPyna/NPG_representation_learning

Nanoporous Graphene (NPG) investigation via deep learning

Language: Jupyter Notebook - Size: 6.33 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.99 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

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

Language: HTML - Size: 99.3 MB - Last synced at: 10 days ago - Pushed at: over 6 years ago - Stars: 169 - Forks: 62

panos-gbio/Proteomics-in-Latent-Space

Repository for my MSc thesis project in Scilifelab - Proteoform Networks Reconstruction using Variational Autoencoder and Random forest classifiers

Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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.

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

mattiabr1/variational-bayes

Algorithms for inference in Gaussian Mixture Models.

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

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

Language: Jupyter Notebook - Size: 9.98 MB - Last synced at: about 2 months ago - Pushed at: about 8 years ago - Stars: 34 - Forks: 16

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.

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 547 - Forks: 100

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

Language: Jupyter Notebook - Size: 102 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 271 - Forks: 53

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

Size: 322 KB - Last synced at: 6 months ago - Pushed at: almost 6 years ago - Stars: 285 - Forks: 57

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

Language: Jupyter Notebook - Size: 10 MB - Last synced at: 10 months ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 3

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)

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

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.

Language: Jupyter Notebook - Size: 120 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 37 - Forks: 12

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.

Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 6.13 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

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

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.

Language: Jupyter Notebook - Size: 8.71 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 426 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

kirle/CelebA_FaceGeneration

Using VAEs and GANs to understand how to generate images, over the CelebA dataset

Language: Jupyter Notebook - Size: 39.7 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

gurbaaz27/cs690a-clustering-spatial-transcriptomics-data

Course Assignment on Clustering of Spatial Transcriptomics Data

Language: Jupyter Notebook - Size: 62.2 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

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

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variational-autoencoders 101 deep-learning 37 variational-autoencoder 18 vae 17 machine-learning 17 generative-model 16 pytorch 15 variational-inference 13 tensorflow 13 autoencoder 12 generative-models 10 generative-adversarial-network 8 autoencoders 7 representation-learning 7 generative-adversarial-networks 6 unsupervised-learning 6 python 6 neural-network 5 keras 5 convolutional-neural-networks 5 computer-vision 5 deeplearning 4 natural-language-processing 4 normalizing-flows 4 vaes 4 neural-networks 4 gans 4 image-generation 4 gan 3 python3 3 speech-processing 3 recurrent-neural-networks 3 deep-neural-networks 3 vae-implementation 3 artificial-intelligence 3 diffusion-models 3 clustering 3 semantic-segmentation 3 gumbel-softmax 3 gaussian-processes 3 semi-supervised-learning 2 random-forest 2 graph-neural-networks 2 probabilistic-graphical-models 2 unsupervised-machine-learning 2 rna-seq 2 covid-19 2 covid19 2 tensorflow2 2 transformers 2 reinforcement-learning 2 variational-bayes 2 transcriptomics 2 vae-pytorch 2 auto-encoders 2 generative-ai 2 disentangled-representations 2 pytorch-vae 2 pytorch-implementation 2 vq-vae 2 deep-kernel-learning 2 statistics 2 mnist 2 supervised-learning 2 paper-implementations 2 bayesian 2 latent-space 2 jupyter-notebook 2 beta-vae 2 architecture 2 gene-expression 2 latent-space-exploration 2 celeba-dataset 2 cancer-genomics 2 material-science 2 multi-modal 1 robot-learning 1 spatial-transcriptomics 1 generative-art 1 keras-implementations 1 artificial-neural-networks 1 faces 1 louvain-algorithm 1 vd-vae 1 unet 1 steel 1 rnn-pytorch 1 rnn-lstm 1 rnn 1 research-project 1 spectra 1 research-paper-implementation 1 research-paper 1 autoregressive-neural-networks 1 lstm-neural-networks 1 image-gpt 1 pixelcnn 1 pixelsnail 1 black-box 1 auto-encoder 1