GitHub topics: variational-autoencoders

Repositories

zfountas/deep-active-inference-mc

Deep active inference agents using Monte-Carlo methods

Language: Python - Size: 12.4 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 90 - Forks: 18

pycroscopy/atomai

Deep and Machine Learning for Microscopy

Language: Python - Size: 216 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 213 - Forks: 41

js05212/BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

Size: 454 KB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 515 - Forks: 62

automl/SVGe

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

Language: Python - Size: 10.9 MB - Last synced at: about 11 hours ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 1

ScyPyna/NPG_representation_learning

Nanoporous Graphene (NPG) investigation via deep learning

Language: Jupyter Notebook - Size: 6.33 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

caetas/GenerativeZoo

Model Zoo for Generative Models.

Language: Python - Size: 5.79 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 26 - Forks: 2

AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Language: Python - Size: 45.4 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 7,151 - Forks: 1,130

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

domenicostefani/morphdrive

Language: Python - Size: 204 MB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: about 1 month 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

FranxYao/Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

Size: 32 MB - Last synced at: 2 months 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: 3 months ago - Pushed at: almost 9 years ago - Stars: 209 - Forks: 63

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: 3 months ago - Pushed at: about 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: 3 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: 3 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: 2 months ago - Pushed at: over 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: 6 months ago - Pushed at: 6 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

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 2 months ago - Pushed at: over 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: 7 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: 7 months ago - Pushed at: 7 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: 7 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: 7 months ago - Pushed at: about 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: 3 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: 10 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: 1 day ago - Pushed at: 11 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.

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: about 1 year ago - Pushed at: about 1 year 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: 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: over 1 year ago - Pushed at: over 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: over 1 year ago - Pushed at: over 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: almost 2 years 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

ivallesp/VAE

Variational Autoencoders simple implementation

Language: Python - Size: 2.17 MB - Last synced at: almost 2 years ago - Pushed at: over 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: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

lruanova/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: 17 days ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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: over 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: over 2 years ago - Pushed at: almost 7 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: over 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: over 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: over 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: over 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: over 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: over 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: over 2 years ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 4