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bayes_gmm

Bayesian Gaussian mixture models in Python.

chatdemo

collaborativevae

concrete-vae

ConcreteVAE implemented in Tensorflow

coursera-dl

Script for downloading Coursera.org videos and naming them.

cs231n_cnn

2016Spring Standford

dec-pytorch

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

eelxpeng.github.io

evidenceaccumulationclustering_matlab

fastertransformer

github_lda

GitHub LDA - Collaborative Topic Modeling for Recommending GitHub Repos

githubdata

graphicalmodel

Courera Version of Graphical Model.. Cooperate with Jian Guo.

grtm

code for "Connection Discovery using Shared Images by Gaussian Relational Topic Model"

libsvm

ltvae-release

lvae

Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"

matconvnet_finetune

ml-sghmc

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

nemo

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

nvil_example

Reference implementation of the NVIL algorithm for a simple Gaussian Mixture Model

pyltm

Python library for Bayesian network

python-topic-model

Implementation of various topic models

r2rt-deconstruction

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

retro-pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

rvae

code for paper "Relational Variational Autoencoder for Link Prediction with Multimedia Data"