MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

Denoising Variational Autoencoder

TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)

This repository contains examples for RxInfer.jl

Deep Probabilistic Programming Examples in Pytorch using pyro

Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)

probabilistic graphical model collections

State arrays for single particle tracking

Disentangling the latent space of a VAE.

Code for Adversarial Approximate Inference for Speech to Laryngograph Conversion

Some basic implementations of Variational Autoencoders in pytorch

[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables inspired from "Categorical Reparameterization with Gumbel-Softmax".

Efficient C implementation of Quantum Analytic Descent

Mixture of Bayes PCA | Variational Inference

automatic/analytical differentiation benchmark

Discrete Variational Autoencoder in PyTorch