GitHub topics: variational-autoencoder

Repositories

julian-8897/Conv-VAE-PyTorch

Variational Autoencoder (VAE) in PyTorch

Language: Jupyter Notebook - Size: 3.41 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 20 - Forks: 1

# 🔍 Semantic Article RecommenderThis project offers a simple way to find articles that are similar in meaning. It uses advanced techniques like Hugging Face embeddings and FAISS for efficient searching. 🛠️

Language: Python - Size: 513 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

888abd8888/privacy-vault-

🛡️ Empower individuals and organizations to protect data privacy, ensure accountability, and build trust through transparent, open-source solutions.

Language: HTML - Size: 4.18 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

GMvandeVen/continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1,788 - Forks: 340

tashin666/streamlit-space-explorer

🛰️ Explore NASA data with an all-in-one app featuring APOD, image search, live Earth events, and Near-Earth Objects tracking.

Language: Python - Size: 2.61 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

VincentStimper/normalizing-flows

PyTorch implementation of normalizing flow models

Language: Python - Size: 7.44 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 900 - Forks: 129

Lotfollahi-lab/nichecompass

End-to-end analysis of spatial multi-omics data

Language: Python - Size: 1.43 GB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 95 - Forks: 15

Prokash21/Deep-Neural-Profiling

Beyond Differential Expression

Language: Jupyter Notebook - Size: 101 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

scverse/scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

Language: Python - Size: 165 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1,493 - Forks: 415

msmrexe/pytorch-beta-vae-fashion-mnist

A PyTorch implementation of a β-Variational Autoencoder (β-VAE) for disentangled representation learning and image generation on the Fashion-MNIST dataset. This repository showcases how β-VAE can achieve disentanglement in its latent space, a crucial concept for interpretability in generative models.

Language: Python - Size: 27.3 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

matthewvowels1/Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Size: 16.1 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 829 - Forks: 74

UMCUtrecht-ECGxAI/ecgxai

Neatly packaged AI methods for explainable ECG analysis

Language: Python - Size: 611 KB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 84 - Forks: 19

marvinquiet/SpaDOT

Optimal transport modeling uncovers spatial domain dynamics in spatiotemporal transcriptomics

Language: Python - Size: 7.95 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 0

clberube/gen-sip

Scripts to reproduce results from Bérubé, C.L., & Baron, F. (2022). Bayesian inference of petrophysical properties with generative spectral induced polarization models.

Language: Python - Size: 42 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 0

Bezdarnost/claritycore

Next-generation Open Source toolkit for low-level vision. Engineered for state-of-the-art performance in image and video pixel2pixel tasks, including Super-Resolution, Denoising, Deblurring, and more.

Language: Python - Size: 1.55 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 12 - Forks: 2

nrc-cnrc/VNFlow

Framework and data for generative molecular design — Infrastructure et données pour la conception moléculaire générative

Language: Jupyter Notebook - Size: 24.1 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

GlastonburyGroup/ImLatent

Deep learning pipeline to obtain latent representation from images using 2D and 3D diffusion and other autoencoders

Language: Python - Size: 89.5 MB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 4 - Forks: 2

jaanli/variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Language: Python - Size: 94.7 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 1,175 - Forks: 259

mtvector/scANTIPODE

Variational Inference for Cell Type Evolution

Language: Jupyter Notebook - Size: 362 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 3 - Forks: 0

numaproj/numalogic

Collection of operational time series ML models and tools

Language: Python - Size: 46.3 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 174 - Forks: 31

Mehrab404/AstroVAE-Variational-Autoencoder-for-Cosmological-Data-Compression

AstroVAE uses a Variational Autoencoder (VAE) to compress high-dimensional data from CAMELS cosmological simulations. It creates a compact, meaningful latent-space representation of complex astrophysical data, proving more effective at preserving critical scientific information than traditional methods.

Language: Jupyter Notebook - Size: 3.59 MB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

msaadx/VAE-Image-Generation

This repository contains an implementation of a Variational Autoencoder (VAE) designed to generate and reconstruct shoe images. The model is trained using deep learning techniques to learn a latent representation of the data, enabling it to generate new realistic images.

Language: Jupyter Notebook - Size: 314 KB - Last synced at: 17 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

joseph-nagel/vae-intro

VAEs with PyTorch + Lightning

Language: Jupyter Notebook - Size: 2.85 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

StatBiomed/SNPmanifold

Manifold learning for single-cell single-nucleotide genetic variations

Language: Jupyter Notebook - Size: 603 MB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 3 - Forks: 0

rese1f/Awesome-VQVAE

A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

Size: 134 KB - Last synced at: 23 days ago - Pushed at: 9 months ago - Stars: 317 - Forks: 10

alawryaguila/multi-view-AE

Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.

Language: Python - Size: 3.14 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 54 - Forks: 5

tuanad121/Python-WORLD

Language: Python - Size: 14.9 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 154 - Forks: 33

jeremysean/vae-shoes-reconstruction

Variational Autoencoder (VAE) for Shoe Image Reconstruction using TensorFlow

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 25 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

navneet-nmk/pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Language: Python - Size: 97.1 MB - Last synced at: 21 days ago - Pushed at: over 6 years ago - Stars: 451 - Forks: 55

sutd-visual-computing-group/awesome-generative-modeling-under-data-constraints

A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot

Size: 201 KB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 33 - Forks: 1

is0383kk/SymbolEmergence-VAE-GMM

Symbol emergence using Variational Auto-Encoder and Gaussian Mixture Model (Inter-GMM-VAE)~VAEを活用した実画像からの記号創発~

Language: Python - Size: 537 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 4

is0383kk/Dirichlet-VAE

Dirichlet-Variational Auto-Encoder by PyTorch

Language: Jupyter Notebook - Size: 652 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 23 - Forks: 5

shruti-sivakumar/RHEA-Inverse-Design-Using-VAE

This project explores the inverse design of materials using a Conditional Variational Autoencoder (CVAE) framework trained on a curated dataset of Refractory High-Entropy Alloys (RHEAs). By leveraging deep generative modeling, we aim to identify novel alloy compositions with desired mechanical properties, such as high yield strength.

Language: Python - Size: 3.27 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

iammazyar/vae_tutorial

A short practical walkthrough of VAEs and Generative AI

Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

arkanivasarkar/EEG-Data-Augmentation-using-Variational-Autoencoder

Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 47 - Forks: 10

clementchadebec/benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Language: Python - Size: 42.5 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1,952 - Forks: 177

xuxu-wei/SUAVE

Implementation of a Hybrid Variational Autoencoder (VAE) for label information-guided dimensionality reduction.

Language: Python - Size: 59.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 47 - Forks: 3

OHBA-analysis/Cho2025_DyNeStE

Scripts for the Cho et al. (2025) manuscript

Language: Python - Size: 163 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

alxhslm/hand-writing-generation

A GenAI app to generate hand-written characters

Language: Python - Size: 3.14 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MavAayush/mrd-detection-flow

Unsupervised MRD detection in flow cytometry data using Variational AutoEncoder (VAE) and Gaussian Mixture Model (GMM).

Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

dieterich-lab/ASyH

The Anonymous Synthesizer for Health Data

Language: Python - Size: 635 KB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 6 - Forks: 1

gd-vae/gd-vae

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

Language: TeX - Size: 30.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 33 - Forks: 2

emaballarin/CARSO

👀🛡️ Code for the paper “Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2025)

Language: Python - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 1

clementchadebec/pyraug

Data Augmentation with Variational Autoencoders (TPAMI)

Language: Python - Size: 10.3 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 143 - Forks: 15

sofia-dominguezc/MNIST-diffusion

Diffusion model implemented in pytorch

Language: Python - Size: 23.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

imagine-laboratory/VAE

Variational Autoencoder for Aerial Agriculture

Language: Python - Size: 140 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Sassy-Buoy/hyper-param-optim-4-vector-field-clustering

Master's thesis(Ongoing) : Unsupervised clustering of Magnetic vector field configurations using a Variational Autoencoder. Optimized using Optuna.

Language: Jupyter Notebook - Size: 2.91 GB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

gonzrubio/ML_Papers

A collection of research paper implementations in PyTorch

Language: Python - Size: 763 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 2

Nihar3453/variational-autoencoder-facegen

A Variational Autoencoder (VAE) for face image reconstruction with slight new face generation. Compresses faces into latent space, reconstructs realistic images, and generates subtle variations. Useful for facial synthesis, data augmentation, image compression and generative modeling.

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

trungnt13/sisua

SemI-SUpervised generative Autoencoder models for single cell data

Language: Jupyter Notebook - Size: 3.24 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 4

choumanhussein/ILVE-Interactive-Latent-Variable-Explorer

ILVE is an interactive Streamlit framework for exploring and understanding VAE/β-VAE latent spaces through real-time visualization, systematic β-parameter experiments, and educational tools for deep learning research.

Language: Python - Size: 87 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

EndlessSora/focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Language: Python - Size: 4.93 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 678 - Forks: 64

vlvink/latent-diffusion-core

Minimal latent diffusion (mini Stable Diffusion) implementation in PyTorch — VAE, U-Net with cross-attention, fast samplers, and text-to-image generation.

Language: Python - Size: 36.1 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Language: Python - Size: 97.7 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 186 - Forks: 33

EdoardoBotta/RQ-VAE-Recommender

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

Language: Python - Size: 146 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 508 - Forks: 63

HyTruongSon/MGVAE

Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967

Language: Python - Size: 43.3 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 24 - Forks: 3

gpeddev/Non-Small-Cell-Lung-Cancer

MSc Data Analytics Thesis: Unsupervised Feature Extraction for Assessing Recurrence of Lung Cancer

Language: Python - Size: 188 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

alexeyev/Keras-Generating-Sentences-from-a-Continuous-Space

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

Language: Python - Size: 9.77 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 36 - Forks: 6

tonyduan/variational-autoencoders

Variational autoencoder implemented in PyTorch. Derives the ELBO, Log-Derivative trick, Reparameterization trick.

Language: Python - Size: 163 KB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 2

GabrielFernandezFernandez/SPIVAE

Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 8 - Forks: 0

asarigun/awesome-denovo-papers

Awesome De novo drugs design papers

Size: 57.6 KB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 90 - Forks: 12

rekalantar/VariationalAutoencoders_Pytorch

Variational Autoencoder (VAE) PyTorch Tutorial from Scratch

Language: Jupyter Notebook - Size: 3.73 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 0

WhitehatRealty/dancingai

💃 Detect and generate dance movements with an AI-powered tool, featuring easy integration for gesture-based projects and interactive Jupyter Notebook experiments.

Language: Jupyter Notebook - Size: 971 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ietheredge/VisionEngine

DHRL ("VisionEngine"), built on Tensorflow 2.2, is an inference framework for natural image data that is tailored to applications in the natural sciences, integrating analytical, theoretical and empirical approaches using generative modeling.

Language: Python - Size: 1.75 GB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 1

vLAR-group/UnsupObjSeg

🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)

Language: Python - Size: 13.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 36 - Forks: 1

NKI-CCB/sobolev_alignment

Sobolev alignment of deep probabilistic models for comparing single cell profiles

Language: Python - Size: 3.61 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 2

matlab-deep-learning/Physical-Concepts-Scinet

This repository provides implementation of SciNet network described in arXiv:1807.10300v3

Language: MATLAB - Size: 42.1 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 1

Mugil-911/Auto-Target-Encoder

🎥 Automate video encoding with this GUI tool that uses machine learning to predict optimal settings for batch processing, enhancing efficiency and quality.

Language: Python - Size: 370 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

zombieTDV/A-Guide-to-Variational-Inference-and-Neural-Networks-for-Approximating-Latent-Spaces

Hướng dẫn và mã nguồn về Suy luận Biến thiên và Mạng Nơ-ron (Autoencoder & VAE) cho bài toán xấp xỉ, trực quan hóa không gian ẩn với các thí nghiệm trên không gian 2D và 32D.

Language: Python - Size: 129 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

george-issa/ML-analytic-continuation

A physics-informed machine learning approach for analytic continuation of Green’s functions. Uses a Variational Autoencoder (VAE) to reconstruct spectral functions by explicitly learning poles and residues from imaginary-time Quantum Monte Carlo data. Robust, interpretable, and designed for noisy inputs.

Language: Python - Size: 54.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

jmtomczak/intro_dgm

"Deep Generative Modeling": Introductory Examples

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1,224 - Forks: 192

Novartis/scar

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

Language: Python - Size: 60 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 54 - Forks: 5

YunjaeChoi/vaemols

Variational Autoencoder for Molecules

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: 11 days ago - Pushed at: almost 7 years ago - Stars: 32 - Forks: 11

pareshrchaudhary/cooperative_matrix_game

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

Language: Jupyter Notebook - Size: 5.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

wubinzzu/NeuRec

Next RecSys Library

Language: Python - Size: 17.6 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1,056 - Forks: 219

leonardsiegert/PULPo

Probabilistic deformable medical image registration capable of uncertainty quantification using a hierarchical variational autoencoder (VAE) architecture. Published at MICCAI 2024 conference.

Language: Jupyter Notebook - Size: 18.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

trungnt13/odin-ai

Orgainzed Digital Intelligent Network (O.D.I.N)

Language: Python - Size: 7.02 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 23 - Forks: 11

koukyo1994/awesome-disentangled-representations

A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-papers and https://github.com/matthewvowels1/Awesome-VAEs.

Size: 175 KB - Last synced at: 13 days ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 4

omerbsezer/Generative_Models_Tutorial_with_Demo 📦

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 339 - Forks: 42

shaheennabi/Computer-Vision-Practices-and-Mini-Projects

This repository features hands-on projects or mini-projects covering both the implementation of computer vision models and foundational concepts like convolutions, padding, strides, and pooling. It includes practical work on tasks such as image classification, object detection, and segmentation etc.

Language: Jupyter Notebook - Size: 123 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0