Pinned Repositories
AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, sparsity and natural gradients
bayesian_benchmarks
A community repository for benchmarking Bayesian methods
CFD-Bayesian-Optimization
Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.
Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
DLVKL
Deep latent-variable kernel learning
DVSHGP
Distributed variational sparse heteroscedastic GP
GPCnoise
Implementation of scalable Gaussian process classification (GPC) with additive noise for various likelihoods
GRBCM
ModulatedGPs
Scalable modulated GPs for expressive statistical learning
SVSHGP
Stochastic variational heteroscedastic Gaussian process
LiuHaiTao01's Repositories
LiuHaiTao01/SVSHGP
Stochastic variational heteroscedastic Gaussian process
LiuHaiTao01/GRBCM
LiuHaiTao01/DLVKL
Deep latent-variable kernel learning
LiuHaiTao01/GPCnoise
Implementation of scalable Gaussian process classification (GPC) with additive noise for various likelihoods
LiuHaiTao01/DVSHGP
Distributed variational sparse heteroscedastic GP
LiuHaiTao01/ModulatedGPs
Scalable modulated GPs for expressive statistical learning
LiuHaiTao01/AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, sparsity and natural gradients
LiuHaiTao01/bayesian_benchmarks
A community repository for benchmarking Bayesian methods
LiuHaiTao01/CFD-Bayesian-Optimization
Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.
LiuHaiTao01/Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
LiuHaiTao01/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
LiuHaiTao01/FluidNet
Accelerating Eulerian Fluid Simulation With Convolutional Networks
LiuHaiTao01/GPflow
Gaussian processes in TensorFlow
LiuHaiTao01/GPflow-inter-domain
Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
LiuHaiTao01/gpml_extensions
Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
LiuHaiTao01/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
LiuHaiTao01/heterogp
Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow
LiuHaiTao01/mantaflow
mantaflow is an open-source framework targeted at fluid simulation research in Computer Graphics and Machine Learning.
LiuHaiTao01/MHMS_DEEPLEARNING
LiuHaiTao01/PhiFlow
Research-oriented differentiable fluid simulation framework
LiuHaiTao01/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
LiuHaiTao01/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
LiuHaiTao01/pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
LiuHaiTao01/ReactorNet
Code for "Learning Time-aware Multi-phase Flow Fields in Coal-Supercritical Water Fluidized Bed Reactor with Deep Learning"