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Variational Autoencoder Python Packages

Python packages with the GitHub topic variational-autoencoder. Sorted by relevance, with stars and monthly downloads.
scverse
scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

79K 2K 447
clementchadebec
pythae

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

4K 2K 177
VincentStimper
normflows

PyTorch implementation of normalizing flow models

4K 944 133
EndlessSora
focal-frequency-loss

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

2K 708 62
numaproj
numalogic

Collection of operational time series ML models and tools

2K 175 31
YosefLab
scvi

Deep probabilistic analysis of single-cell and spatial omics data

2K 2K 447
avitai
avitai-artifex

A research-focused modular generative modeling library built on JAX/Flax NNX

2K 1 0
nhsengland
nhssynth

Package to accompany P41

854 5 3
Lotfollahi-lab
nichecompass

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

745 114 20
mtvector
antipode

Variational Inference for Cell Type Evolution

734 6 0
RasmussenLab
move-dl

Multi-omics variational autoencoder

662 94 33
mmcinnestaylor
pi-vae-pytorch

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

643 2 1
makgyver
rectorch

rectorch: state-of-the-art recsys approaches implemented in pytorch.

587 150 19
an-seunghwan
distvae-tabular

Official implementation of 'Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation' (DistVAE) with pytorch (NeurIPS 2023 accepted paper).

586 3 0
vndee
deepgen

A Collection of modern Deep Generative Models

513 5 0
ziatdinovmax
pyroved

Invariant representation learning from imaging and spectral data

435 54 11
greenelab
ponyo

Software to simulate compendium-wide gene expression data using a VAE.

405 3 3
dohlee
eve-pytorch

EVE - Pytorch

317 3 0
StatBiomed
snpmanifold

Manifold learning for single-cell single-nucleotide genetic variations

309 4 0
udapy
free-transformer

Free Transformer Architecture - an extension of the decoder Transformer that conditions its generative process on random latent variables which are learned without supervision

304 3 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.

300 5 1
arlegotin
tfae

TensorFlow extension for building and training different types of autoencoders

300 4 2
imito
odin-ai

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

290 22 11
trungnt13
sisua

SemI-SUpervised generative Autoencoder for single cell data

286 18 4
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