Variational Diagrammatic Monte-Carlo Built on Dynamical Mean-Field Theory

Approximate inference of latent non-Gaussian models

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

Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)

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

A collections of basic autoencoders and Generative models for chemistry

State arrays for single particle tracking

Discrete Variational Autoencoder in PyTorch

automatic/analytical differentiation benchmark

Anomaly detection in time series

Disentangling the latent space of a VAE.

Efficient C implementation of Quantum Analytic Descent

probabilistic graphical model collections

Notebooks exploring various features of the Rigetti Forest & Grove using pyQuil

Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression

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

Experiments on Disentangled Representation Learning using Variational autoencoding algorithms

Some basic implementations of Variational Autoencoders in pytorch