variational

alecGraves/BVAE-tf

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

JulienSiems/TensorFlow-Autoencoders

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

jiwoongim/DVAE-Pytorch-

Denoising Variational Autoencoder

cjratcliff/variational-dropout

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

navneet-nmk/Probabilisitc-Pytorch

Deep Probabilistic Programming Examples in Pytorch using pyro

Oafish1/JAMIE

Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)

alecheckert/saspt

State arrays for single particle tracking

FirstHandScientist/pgm_map

probabilistic graphical model collections

AloneTogetherY/disentangled-VAE

Disentangling the latent space of a VAE.

darleybarreto/implicit-vae-pytorch

darleybarreto/vae-pytorch

Some basic implementations of Variational Autoencoders in pytorch

VarunSrivastavaIITD/AAI

Code for Adversarial Approximate Inference for Speech to Laryngograph Conversion

BalintKoczor/quantum-analytic-descent

Efficient C implementation of Quantum Analytic Descent

EdoardoBotta/Gaussian-Mixture-VAE

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

mszulc913/dvae-pytorch

Discrete Variational Autoencoder in PyTorch

4ment/gradient-benchmark

automatic/analytical differentiation benchmark

dabdya/anomaly_detection

Anomaly detection in time series

srama2512/VAE

A simple variational autoencoder to generate images from MNIST. Implemented in TensorFlow.

tinrabuzin/MVBPCA

Mixture of Bayes PCA | Variational Inference

wangyida/nebula-anchors

dvillacis/BilevelImagingToolbox

Python toolbox for solving imaging continuous optimization problems.

Abishekpras/disentangled_representation_learning

Experiments on Disentangled Representation Learning using Variational autoencoding algorithms

MauroCE/Dissertation

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

rafaelcabral96/ngvb

Approximate inference of latent non-Gaussian models

sourodeep/vaeedaq

Variational AutoEncoder with Population Queue and AVS

katychubb/linear_KEO

Mathematica code to generate the matrix elements required to build the kinetic energy operator (KEO) of linear molecule HCCH for use in numerical ro-vibrational calculations. The elements are Taylor-expanded in a set of 3N-6 internal coordinates (this can be amended to 3N-5) up to a user-defined expansion order

MauricioCafiero/ChemistryAutoencoders_and_GenerativeModels

A collections of basic autoencoders and Generative models for chemistry

lazyoracle/pyQuil

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