ssydasheng

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

Bayesian_neural_network_papers

Papers for Bayesian-NN

FBNN

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

GPflow-Slim

customized GPflow with simple Tensorflow API

Harmonic-Kernel-Decomposition

The official code for the Harmonic variational Gaussian processes (ICML2021).

Neural-Kernel-Network

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

predictive-correlation-benchmark

PyDeepGP

Deep Gaussian Processes in Python

ssydasheng.github.io

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

ssydasheng/Bayesian_neural_network_papers

Papers for Bayesian-NN

ssydasheng/FBNN

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

ssydasheng/Neural-Kernel-Network

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

ssydasheng/GPflow-Slim

customized GPflow with simple Tensorflow API

ssydasheng/Harmonic-Kernel-Decomposition

The official code for the Harmonic variational Gaussian processes (ICML2021).

ssydasheng/predictive-correlation-benchmark

ssydasheng/bayesian_benchmarks

A community repository for benchmarking Bayesian methods

ssydasheng/PyDeepGP

Deep Gaussian Processes in Python