thangbui

deepGP_approxEP

see https://github.com/thangbui/geepee for a faster implementation

geepee

A collection of Gaussian process models

sparseGP_powerEP

Unifying sparse approximations for Gaussian process regression and classification, using Power EP

streaming_sparse_gp

Streaming sparse Gaussian process approximations

tsgp

Tree-structured Gaussian Process Approximations

var-gp

Variational Auto-Regressive Gaussian Processes for Continual Learning

variational-continual-learning

Implementation of the variational continual learning method

variational_biases_bnn

Biases in Variational Bayesian Neural Networks

thangbui/streaming_sparse_gp

Streaming sparse Gaussian process approximations

thangbui/deepGP_approxEP

see https://github.com/thangbui/geepee for a faster implementation

thangbui/geepee

A collection of Gaussian process models

thangbui/sparseGP_powerEP

Unifying sparse approximations for Gaussian process regression and classification, using Power EP

thangbui/tsgp

Tree-structured Gaussian Process Approximations

thangbui/var-gp

Variational Auto-Regressive Gaussian Processes for Continual Learning

thangbui/variational-continual-learning

Implementation of the variational continual learning method

thangbui/variational_biases_bnn

Biases in Variational Bayesian Neural Networks

thangbui/annealed_is

ais sandbox

thangbui/bayes_examples

thangbui/GPy

Gaussian processes framework in python

thangbui/keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

thangbui/mtgp

Multi-task Gaussian Process

thangbui/neural

neural network playground

thangbui/pytorch-tutorials

thangbui/pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

thangbui/thangbui.github.io

github io page