Haitao Liu's repositories

SVSHGP

Stochastic variational heteroscedastic Gaussian process

Language:Jupyter NotebookStargazers:14Issues:0Issues:0

DLVKL

Deep latent-variable kernel learning

Language:PythonStargazers:5Issues:0Issues:0

GPCnoise

Implementation of scalable Gaussian process classification (GPC) with additive noise for various likelihoods

Language:Jupyter NotebookStargazers:5Issues:0Issues:0

DVSHGP

Distributed variational sparse heteroscedastic GP

Language:MATLABStargazers:3Issues:0Issues:0

ModulatedGPs

Scalable modulated GPs for expressive statistical learning

Language:PythonLicense:Apache-2.0Stargazers:1Issues:0Issues:0

AugmentedGaussianProcesses.jl

Gaussian Process package based on data augmentation, sparsity and natural gradients

Language:JuliaLicense:NOASSERTIONStargazers:0Issues:0Issues:0

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

CFD-Bayesian-Optimization

Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.

Language:MATLABLicense:MITStargazers:0Issues:0Issues:0

Conditional_Density_Estimation

Package implementing various parametric and nonparametric methods for conditional density estimation

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Deep-Flow-Prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

License:Apache-2.0Stargazers:0Issues:0Issues:0

FluidNet

Accelerating Eulerian Fluid Simulation With Convolutional Networks

License:NOASSERTIONStargazers:0Issues:0Issues:0

GPflow

Gaussian processes in TensorFlow

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

GPflow-inter-domain

Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables

License:Apache-2.0Stargazers:0Issues:0Issues:0

gpml_extensions

Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.

Language:MATLABLicense:NOASSERTIONStargazers:0Issues:0Issues:0

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

heterogp

Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

mantaflow

mantaflow is an open-source framework targeted at fluid simulation research in Computer Graphics and Machine Learning.

License:NOASSERTIONStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

PhiFlow

Research-oriented differentiable fluid simulation framework

License:MITStargazers:0Issues:0Issues:0

Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Stargazers:0Issues:0Issues:0

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

License:MITStargazers:0Issues:0Issues:0

pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

Stargazers:0Issues:0Issues:0

ReactorNet

Code for "Learning Time-aware Multi-phase Flow Fields in Coal-Supercritical Water Fluidized Bed Reactor with Deep Learning"

Stargazers:0Issues:0Issues:0