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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

deep-flow-prediction

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

dlvkl

Deep latent-variable kernel learning

dvshgp

Distributed variational sparse heteroscedastic GP

fluidnet

Accelerating Eulerian Fluid Simulation With Convolutional Networks

gpcnoise

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

gpflow

Gaussian processes in TensorFlow

gpflow-inter-domain

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

gpml_extensions

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

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

grbcm

heterogp

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

mantaflow

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

mhms_deeplearning

modulatedgps

Scalable modulated GPs for expressive statistical learning

phiflow

Research-oriented differentiable fluid simulation framework

physics-based-deep-learning

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

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

pytorch_active_learning

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

reactornet

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

svshgp

Stochastic variational heteroscedastic Gaussian process