Search Packages

scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

pythae

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

normflows

PyTorch implementation of normalizing flow models

focal-frequency-loss

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

numalogic

Collection of operational time series ML models and tools

scvi

Deep probabilistic analysis of single-cell and spatial omics data

avitai-artifex

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

nhssynth

Package to accompany P41

nichecompass

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

antipode

Variational Inference for Cell Type Evolution

pi-vae-pytorch

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

move-dl

Multi-omics variational autoencoder

distvae-tabular

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

rectorch

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

deepgen

A Collection of modern Deep Generative Models

pyroved

Invariant representation learning from imaging and spectral data

ponyo

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

snpmanifold

Manifold learning for single-cell single-nucleotide genetic variations

eve-pytorch

EVE - Pytorch

tfae

TensorFlow extension for building and training different types of autoencoders

sisua

SemI-SUpervised generative Autoencoder for single cell data

pyraug

Data Augmentation with Variational Autoencoders (TPAMI)

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.

odin-ai

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