chriskormaris/vae-master-thesis

My postgraduate dissertation that I've done while studying Computer Science at Athens University of Economics & Business. Title: Variational Autoencoders & Applications Student: Christos Kormaris Supervisor Professor: Michalis Titsias Date: May 2018

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afm719/AntibacterialAI

The goal of this project is to apply Deep Learning techniques to generate novel candidate molecules with potential antibacterial activity. We aim to develop a generative model that learns from known antibacterial molecules and creates new molecular structures that could act as antibiotics.

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THARAGESHWARAN-SATHYAMOORTHY/End-to-End-Image-Classification-and-Compression-With-Variational-Autoencoders

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vamsi-krishna-2005/DL-DB-VAE-

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iechevarria/lego-face-VAE

Variational autoencoder for Lego minifig faces

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uncleDecart/data_drift

Data Drift detection using auto encoders

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sony/sqvae

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

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xcyan/eccv16_attr2img

Torch Implemention of ECCV'16 paper: Attribute2Image

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nglaz0v/Generative_Deep_Learning_2nd_Edition Fork of davidADSP/Generative_Deep_Learning_2nd_Edition

:book: The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

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Yoga-Syahputra/Phishing-Detection-VAE-CNN

A hybrid deep learning VAE-CNN model for URL-based phishing detection.

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emirr44/KIMIKA-Molecular-Classification-and-Generation

Molecular Graph Classification and Generation Using Pre-trained Model

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CostaLab/PILOT-GM-VAE

Patient-Level Analysis of Single Cell Disease Atlas with Optimal Transport of Gaussian Mixtures Variational Autoencoders

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gregogiudici/multidescriptor-vae

Exploring Multi-Descriptor Disentangled Representation of Acoustic Instrument Notes

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andreasMazur/variational_autoencoder

A light TensorFlow meta-class for variational autoencoder.

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rmd926/NYCU-DLP

NYCU Deep Learning 2024 Summer Semester

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FaNa-AI/VAE

a PyTorch-based VAE to generate, reconstruct, and interpolate dog images using latent space representations.

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GenAI-2025-Project/YAGANG-YetAnotherGAmeNgen-

Code for the our Gen-AI Project

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adamwespiser/variational-autoencoders

Experiments with variational autoencoders in Julia

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pareshrchaudhary/toy_cooperation

This is repository for GOAT experiments on single step cooperative matrix game.

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enoche/DGVAE

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability, IEEE TMM

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markhliu/DGAI

Learn Generative AI with PyTorch (Manning Publications, 2024)

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julian-8897/hyperbolic_vae

Variational Autoencoder with non-euclidean (hyperbolic) latent space

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ziatdinovmax/pyroVED

Invariant representation learning from imaging and spectral data

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arman-aminian/lofi-generator

Music(Lo-fi) generation using deep learning techniques.

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RetroCirce/Music-SketchNet

ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm

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dohlee/eve-pytorch

Implementation of evolutionary model of variant effect (EVE), a deep generative model of evolutionary data, in PyTorch.

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podgorskiy/VAE

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

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high-dimensional/3d_very_deep_vae

PyTorch implementations of variational autoencoders for 3D images

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NahuelCostaCortez/rapidae

Explore, compare and develop autoencoder models with a back-end agnostic framework

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hwalsuklee/tensorflow-generative-model-collections

Collection of generative models in Tensorflow

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timbmg/VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

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YannDubs/disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

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GiulioTaralli/PyTorch_DeepLearning

This repository contains exercises for learning the PyTorch library and Deep Learning models. Some of these topics were covered during the university course "Neural Networks and Deep Learning", while others were explored independently to deepen expertise in the field.

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HySonLab/MGVAE

Higher-order permutation-equivariant graph variational autoencoder to generate molecules in multiresolution manner. https://iopscience.iop.org/article/10.1088/2632-2153/acc0d8

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fmenat/DiscreteVAE

Public repository for Unsupervised Binary Variational Auto-Encoder (BVAE) used for Hashing

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ai4biomedicine/surgVAE

JAMIA: A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients

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SpencerSzabados/Fine-tune-Stable-Diffusion-VAE

A quick reference for fine-tuning Stable Diffusions VAE on custom datasets.

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GMvandeVen/brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

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gnthibault/Optimisation-Python

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

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YeongHyeon/adVAE

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

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tayden/VAE-Latent-Space-Explorer

Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.

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sksq96/pytorch-vae

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

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greenelab/tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

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MrNick-code/EoS

Machine Learning Applied to Relativistic Heavy Ion Collision

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jordan2lee/latent-tf-tumor-growth-distances

Transcription factor informed biological distances between tumors and their lab grown models

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GMvandeVen/class-incremental-learning

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

Language: Python - Size: 1.51 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 77 - Forks: 15

MurpheyLab/inverse-mixed-strategy

(ICRA 2025) Inverse Mixed Strategy Games with Generative Trajectory Models

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FabianFalck/mfcvae

Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

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h3lio5/linguistic-style-transfer-pytorch 📦

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

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markushaug/acr-25

Research on machine learning, deep learning, and ensemble methods in imbalanced fraud and anomaly detection scenarios.

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snakers4/playing_with_vae

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

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MrtnMndt/OpenVAE_ContinualLearning

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

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FilippoMB/Variational-Graph-Auto-encoders-Tensorflow-2-Spektral-

Implementation of the Variational Graph Auto-encoder in Spektral (Tensorflow-Keras)

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AkiRusProd/numpy-nn-model

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

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benediktfesl/Quantized_Channel_Estimation

Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".

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megagonlabs/coop

☘️ Code for Convex Aggregation for Opinion Summarization (Iso et al; Findings of EMNLP 2021)

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wangluchen567/Auto_Encoder

自编码器模型(Auto Encoder Model)

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webpolis/musai

Machine learning-powered music generation. Full-featured tokenizer, customization options, and high-quality output files. Integration with music production tools.

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RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

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dn070017/CAVACHON

Cell cluster Analysis with Variational Autoencoder using Conditional Hierarchy Of latent representioN

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abdulfatir/normalizing-flows

Understanding normalizing flows

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NicklasVraa/VAE_based_segmentation

Exploring variational-autoencoder-based semantic segmentation for analyzing CT-scans.

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HySonLab/LatentDE

LatentDE: Latent-based Directed Evolution for Protein Sequence Design

Language: Python - Size: 3.04 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 26 - Forks: 0

hwalsuklee/tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

Language: Python - Size: 374 KB - Last synced at: 5 months ago - Pushed at: over 8 years ago - Stars: 496 - Forks: 180

hkproj/vae-from-scratch-notes

Notes about the video on the Variational Autoencoder

Size: 1000 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 1

geometric-intelligence/pirounet

Conditional dance generator

Language: Python - Size: 770 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 25 - Forks: 4

paulpuren/cgm-gm

Conditional generative models for earthquake ground motions

Language: Python - Size: 1.12 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 1

BoltzmannEntropy/QMLDocker

A docker container for quantum machine learning (QML) research

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mhw32/multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Language: Python - Size: 3.9 MB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 158 - Forks: 36

bits-bytes-nn/sound-anomaly-detection-with-autoencoders

MIMII Sound Anomaly Detection with AutoEncoders

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rajoy99/osman

osman: OverSampling by Deep Generative Models A pip package which oversamples class imbalance binary data by Deep Generative Models.

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yzwxx/vae-celebA

Variational auto-encoder trained on celebA . All rights reserved.

Language: Python - Size: 2.71 MB - Last synced at: 7 months ago - Pushed at: almost 8 years ago - Stars: 182 - Forks: 44

mayankmittal29/TensorTinker_Statistical_Methods_in_AI

This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.

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SarodYatawatta/federated-pytorch-test

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

Language: Python - Size: 301 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 7

wanglab-broad/FuseMap

FuseMap: Integrate spatial transcripomics with universal gene, cell, and tissue embeddings.

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miltonllera/ocdm

Object-Centric Disentangled Mechanisms

Language: Python - Size: 333 KB - Last synced at: about 6 hours ago - Pushed at: about 8 hours ago - Stars: 1 - Forks: 0

edgarschnfld/CADA-VAE-PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Language: Python - Size: 39.7 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 286 - Forks: 56

aksub99/molecular-vae

Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"

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dn070017/Variational-Autoencoders

Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2

Language: Python - Size: 13.2 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 17 - Forks: 4

fededagos/celltypes-classification

Source code for the dissertation "Deep Learning Approaches Towards Semi-Supervised Cell Type Classification in Cerebellar Neuropixels Recordings" submitted as requirement of the MSc in Machine Learning at UCL

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GwangWooKim/saVAE

A similarity-assisted variational autoencoder (saVAE) is a new method that adopts similarity information in the framework of the VAE.

Language: Python - Size: 1.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 1

rguo12/CIKM18-LCVA

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Language: Python - Size: 47.8 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 5

WilliamZhang20/CIFAR-Image-Recognition

Computer Vision Algorithms in PyTorch

Language: Python - Size: 9.77 KB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Adlai-1/Variational-Auto-Encoders

This a Variational Autoencoder for Anomaly detection (Credit Card Fraud). This project was solely done as my final thesis for my MSc. Computer Science program.

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mmcinnestaylor/pi-vae-pytorch

Implementation of Poisson Identifiable VAE (pi-VAE) in Pytorch

Language: Python - Size: 8.88 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1

cea-list-lasti/AVAE Fork of AntoinePlumerault/AVAE

Combining GAN and VAE to get the best of each

Language: Python - Size: 85.9 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

msaadx/Variational-Autoencoder-Generating-Fake-Signatures

This repository implements a Variational Autoencoder (VAE) using PyTorch to generate synthetic signatures. The model encodes real signatures into a latent space, samples using the reparameterization trick, and reconstructs them via a decoder. Training optimizes reconstruction loss and KL divergence for smooth latent representations.

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YeongHyeon/CVAE-AnomalyDetection-PyTorch

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Language: Python - Size: 2.31 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 2

ImKeTT/CTG-latentAEs

[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.

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ImKeTT/AdaVAE

[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation

Language: Python - Size: 888 KB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 35 - Forks: 4

davitacols/Building-a-Variational-Quantum-Classifier-in-Python-with-Qiskit

This project demonstrates how to build a Variational Quantum Classifier (VQC) using Qiskit. VQCs combine parameterized quantum circuits with classical optimization to classify data into categories. The workflow includes quantum data encoding, circuit design (using the RyRz ansatz), hybrid optimization, and result evaluation.

Language: Python - Size: 22.5 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

nviolante25/generative

A collection of generative model implementations

Language: Python - Size: 6.38 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

th-nuernberg/speech-conversion-demo

Demo Page for "Generative Models for Improved Naturalness, Intelligibility, and Voicing of Whispered Speech" (SLT22)

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Fer14/tiny_vae

Variational AutoEncoder Tiny Model 🤏

Language: Python - Size: 4.98 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 5 - Forks: 0

unshun0120/Apply-FederatedLearning-into-Autoencoder

Using Federated Learning to train Autoencoder and its variants' models in pytorch

Language: Python - Size: 900 KB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

kavishka-dot/VAE_Image_Denoising

Language: Jupyter Notebook - Size: 372 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

rpng/calc2.0

CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure

Language: Python - Size: 30.1 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 97 - Forks: 17

RGenDiff/open-litevae

Implementation of LiteVAE

Language: Python - Size: 113 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

BeeGass/VAEs

Reproducible code showing the various types of variational autoencoders I have implemented

Language: Python - Size: 62.6 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0