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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

95K 2K 450
clementchadebec
pythae

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

4K 2K 177
VincentStimper
normflows

PyTorch implementation of normalizing flow models

4K 943 131
EndlessSora
focal-frequency-loss

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

3K 708 62
avitai
avitai-artifex

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

3K 1 0
YosefLab
scvi

Deep probabilistic analysis of single-cell and spatial omics data

2K 2K 450
numaproj
numalogic

Collection of operational Machine Learning models and tools.

2K 175 31
Lotfollahi-lab
nichecompass

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

1K 115 20
CostaLab
pilotgm

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

770 9 3
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

691 3 0
mmcinnestaylor
pi-vae-pytorch

A Pytorch implementation of Poisson Identifiable VAE (pi-VAE), a variational auto encoder used to construct latent variable models of neural activity while simultaneously modeling the relation between the latent and task variables.

680 2 1
makgyver
rectorch

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

622 150 19
nhsengland
nhssynth

Synthetic data generation pipeline leveraging a Differentially Private Variational Auto Encoder assessed using a variety of metrics

615 5 5
RasmussenLab
move-dl

Multi-omics variational autoencoder

560 96 33
an-seunghwan
distvae-tabular

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

515 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.

485 5 1
vndee
deepgen

A Collection of modern Deep Generative Models

484 5 0
dohlee
eve-pytorch

EVE - Pytorch

435 3 0
StatBiomed
snpmanifold

Manifold learning for single-cell single-nucleotide genetic variations

352 4 0
navneet-nmk
pytorch-policy

Reinforcement Learning in Pytorch

339 453 55
ziatdinovmax
pyroved

Invariant representation learning from imaging and spectral data

310 54 10
mtvector
antipode

Simultaneous integration, differential expression and clustering of single cell RNAseq data using pyro-powered variational inference.

303 6 0
imito
odin-ai

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

294 22 11
Bezdarnost
claritycore

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

286 13 2
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