Projects in Awesome Lists tagged with gaussian-processes

https://github.com/d2l-ai/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

book computer-vision data-science deep-learning gaussian-processes hyperparameter-optimization jax kaggle keras machine-learning mxnet natural-language-processing notebook python pytorch recommender-system reinforcement-learning tensorflow

Last synced: 08 May 2025

https://github.com/ddbourgin/numpy-ml

Machine learning, in numpy

attention bayesian-inference gaussian-mixture-models gaussian-processes good-turing-smoothing gradient-boosting hidden-markov-models knn lstm machine-learning mfcc neural-networks reinforcement-learning resnet topic-modeling vae wavenet wgan-gp word2vec

Last synced: 12 May 2025

https://github.com/bayesian-optimization/bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesian-optimization gaussian-processes optimization python simple

Last synced: 11 Dec 2025

https://github.com/bayesian-optimization/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

bayesian-optimization gaussian-processes optimization python simple

Last synced: 04 Apr 2025

https://github.com/cornellius-gp/gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

gaussian-processes gpu-acceleration pytorch

Last synced: 13 May 2025

https://github.com/google/neural-tangents

Fast and Easy Infinite Neural Networks in Python

bayesian-inference bayesian-networks deep-networks gaussian-processes gradient-descent gradient-flow infinite-networks jax kernel kernel-computation neural-networks neural-tangents training-dynamics

Last synced: 14 May 2025

https://github.com/gpflow/gpflow

Gaussian processes in TensorFlow

bayesian-statistics deep-learning gaussian-processes gp gpflow machine-learning markov-chain-monte-carlo ml stochastic-processes tensorflow variational-inference

Last synced: 13 May 2025

https://github.com/krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-machine-learning bayesian-methods bayesian-optimization gaussian-processes machine-learning variational-autoencoder

Last synced: 15 May 2025

https://github.com/GPflow/GPflow

Gaussian processes in TensorFlow

bayesian-statistics deep-learning gaussian-processes gp gpflow machine-learning markov-chain-monte-carlo ml stochastic-processes tensorflow variational-inference

Last synced: 04 Apr 2025

https://github.com/fabsig/gpboost

Combining tree-boosting with Gaussian process and mixed effects models

artificial-intelligence boosting cpp data-science gaussian-processes machine-learning mixed-effects python r

Last synced: 14 May 2025

https://github.com/jrvansuita/GaussianBlur

🎩 An easy and fast library to apply gaussian blur filter on any images.

android bitmap blur blur-backgrounds blurry canvas drawable filter filters gaussian gaussian-filter gaussian-processes gaussianblur image image-compression image-processing renderscript

Last synced: 21 Apr 2025

https://github.com/jrvansuita/gaussianblur

🎩 An easy and fast library to apply gaussian blur filter on any images.

android bitmap blur blur-backgrounds blurry canvas drawable filter filters gaussian gaussian-filter gaussian-processes gaussianblur image image-compression image-processing renderscript

Last synced: 05 Apr 2025

https://github.com/JaxGaussianProcesses/GPJax

Gaussian processes in JAX and Flax.

bayesian-inference gaussian-processes jax machine-learning probabilistic-programming

Last synced: 01 May 2025

https://github.com/dfm/george

Fast and flexible Gaussian Process regression in Python

c-plus-plus cpp gaussian-processes python time-series

Last synced: 14 May 2025

https://github.com/arm-software/mango

Parallel Hyperparameter Tuning in Python

bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters

Last synced: 13 Apr 2025

https://github.com/ARM-software/mango

Parallel Hyperparameter Tuning in Python

bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters

Last synced: 01 May 2025

https://github.com/juliagaussianprocesses/stheno.jl

Probabilistic Programming with Gaussian processes in Julia

approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming

Last synced: 12 Oct 2025

https://github.com/JuliaGaussianProcesses/Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming

Last synced: 04 May 2025

https://github.com/nrontsis/pilco

Bayesian Reinforcement Learning in Tensorflow

gaussian-processes machine-learning model-based-rl reinforcement-learning tensorflow

Last synced: 06 Apr 2025

https://github.com/gtrll/gpmp2

Gaussian Process Motion Planner 2

gaussian-processes inference motion-planning robotics trajectory-optimization

Last synced: 03 May 2025

https://github.com/thuijskens/bayesian-optimization

Python code for bayesian optimization using Gaussian processes

gaussian-processes hyperparameter-optimization optimization

Last synced: 22 Jul 2025

https://github.com/hoangcuong2011/Good-Papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

computer-vision convolutional-networks deep-kernel-learning deep-learning gaussian-processes kernel-learning machine-learning natural-language-processing neural-machine-translation neural-network representation-learning semi-supervised-learning variational-autoencoders variational-inference

Last synced: 19 Jul 2025

https://github.com/JuliaGaussianProcesses/KernelFunctions.jl

Julia package for kernel functions for machine learning

gaussian-processes kernel-functions kernels machine-learning

Last synced: 27 Mar 2025

https://github.com/juliagaussianprocesses/kernelfunctions.jl

Julia package for kernel functions for machine learning

gaussian-processes kernel-functions kernels machine-learning

Last synced: 22 Feb 2025

https://github.com/wujian16/Cornell-MOE

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

bayesian bayesian-optimization gaussian-processes hyperparameter-optimization machine-learning optimization

Last synced: 01 May 2025

https://github.com/juliagaussianprocesses/abstractgps.jl

Abstract types and methods for Gaussian Processes.

gaussian-processes gps julia probabilistic-programming

Last synced: 15 May 2025

https://github.com/alshedivat/keras-gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

gaussian-processes keras machine-learning neural-networks tensorflow theano

Last synced: 07 Sep 2025

https://github.com/befelix/safe_learning

Safe reinforcement learning with stability guarantees

dynamic-programming gaussian-processes reinforcement-learning safety stability

Last synced: 09 Apr 2025

https://github.com/exoplanet-dev/exoplanet

Fast & scalable MCMC for all your exoplanet needs!

astronomy astrophysics bayesian-inference exoplanet exoplanet-radial-velocities exoplanet-transits exoplanets gaussian-processes mcmc pymc3 time-series time-series-analysis

Last synced: 21 Oct 2025

https://github.com/acerbilab/vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

bayesian-inference data-analysis gaussian-processes machine-learning matlab variational-inference

Last synced: 09 Apr 2025

https://github.com/ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

active-learning bayesian-inference bayesian-neural-networks bayesian-optimization deep-kernel-learning gaussian-processes hypothesis-learning machine-learning multi-fidelity-learning

Last synced: 15 May 2025

https://github.com/wesselb/stheno

Gaussian process modelling in Python

gaussian-processes machine-learning python

Last synced: 05 Apr 2025

https://github.com/robi56/survival-analysis-using-deep-learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

bayesian-inference cancer-research deep-learning gaussian-processes healthcare machine-learning survival-analysis time-series time-to-event

Last synced: 23 Feb 2025

https://github.com/dme65/pysot

Surrogate Optimization Toolbox for Python

asynchronous bayesian-optimization black-box-optimization gaussian-processes global-optimization global-optimization-algorithms optimization radial-basis-function surrogate-based-optimization surrogate-models

Last synced: 05 Apr 2025

https://github.com/BayesWatch/deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

bayesian-methods classification deep-kernel-learning deep-learning few-shot-learning gaussian-processes gpytorch kernel kernel-methods kernels meta-learning one-shot-learning paper regression shot-learning uncertainty uncertainty-quantification

Last synced: 01 May 2025

https://github.com/tailhq/DynaML

Scala Library/REPL for Machine Learning Research

classification committee-models gaussian-processes kernel-methods machine-learning machine-learning-algorithms machine-learning-api regression repl scala scala-library tensorflow

Last synced: 26 Mar 2025

https://github.com/tailhq/dynaml

Scala Library/REPL for Machine Learning Research

classification committee-models gaussian-processes kernel-methods machine-learning machine-learning-algorithms machine-learning-api regression repl scala scala-library tensorflow

Last synced: 09 Apr 2025

https://github.com/m-clark/Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 14 Mar 2025

https://github.com/m-clark/miscellaneous-r-code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 13 Apr 2025

https://github.com/dfm/celerite

Scalable 1D Gaussian Processes in C++, Python, and Julia

astronomy c-plus-plus cpp exoplanets gaussian-processes julia python stars time-series

Last synced: 02 Jan 2026

https://github.com/MLBazaar/BTB

A simple, extensible library for developing AutoML systems

automl gaussian-processes hyperparameter-optimization multi-armed-bandit

Last synced: 09 May 2025

https://github.com/hilo-mpc/hilo-mpc

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

gaussian-processes hybrid-modeling kalman-filters lqr machine-learning mhe model-based-optimization model-predictive-control moving-horizon-estimation mpc neural-networks particle-filters path-following-mpc pid research-education trajectory-tracking-mpc

Last synced: 01 May 2025

https://github.com/st--/interactive-gp-visualization

Interactive visualization of Gaussian processes

demo gaussian-processes visualisation

Last synced: 25 Aug 2025

https://github.com/gabrieltseng/pycrop-yield-prediction

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

agriculture deep-learning gaussian-processes machine-learning remote-sensing

Last synced: 28 Mar 2025

https://github.com/befelix/safeopt

Safe Bayesian Optimization

gaussian-processes optimization reinforcement-learning robotics safety

Last synced: 09 Apr 2025

https://github.com/theogf/augmentedgaussianprocesses.jl

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

classification gaussian gaussian-processes gpc gps julia natural-gradients process svm

Last synced: 19 Jun 2025

https://github.com/theogf/AugmentedGaussianProcesses.jl

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

classification gaussian gaussian-processes gpc gps julia natural-gradients process svm

Last synced: 04 May 2025

https://github.com/epiforecasts/epinow2

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

backcalculation covid-19 gaussian-processes open-source reproduction-number rstats stan

Last synced: 14 Jun 2025

https://github.com/JuliaGaussianProcesses/TemporalGPs.jl

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

bayesian-inference gaussian-processes julia-language time-series

Last synced: 27 Mar 2025

https://github.com/juliagaussianprocesses/temporalgps.jl

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

bayesian-inference gaussian-processes julia-language time-series

Last synced: 05 Apr 2025

https://github.com/acerbilab/pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

bayesian-inference data-analysis gaussian-processes machine-learning python variational-inference

Last synced: 04 Apr 2025

https://github.com/tiskw/random-fourier-features

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

gaussian-processes machine-learning principal-component-analysis python pytorch support-vector-machines

Last synced: 04 Apr 2025

https://github.com/eric-bradford/ts-emo

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

bayesian-optimization black-box-optimization expensive-to-evaluate-functions gaussian-processes genetic-algorithms kriging machine-learning matlab multi-objective-optimization spectral-sampling surrogate-based-optimization thompson-sampling

Last synced: 03 Sep 2025

https://github.com/jbrea/bayesianoptimization.jl

Bayesian optimization for Julia

bayesian-methods bayesian-optimization gaussian-processes julia machine-learning optimization

Last synced: 03 Nov 2025

https://github.com/jbrea/BayesianOptimization.jl

Bayesian optimization for Julia

bayesian-methods bayesian-optimization gaussian-processes julia machine-learning optimization

Last synced: 04 May 2025

https://github.com/maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

bayesian-optimization big-data convolutional-neural-networks data-science deep-learning gaussian-processes hyperparameter-optimization machine-learning model-selection neural-network optimization-algorithms python random-search tensorflow

Last synced: 06 Apr 2025

https://github.com/ssydasheng/fbnn

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

bayesian-inference deep-learning gaussian-processes tensorflow

Last synced: 11 Jul 2025

https://github.com/kekeblom/deepcgp

Deep convolutional gaussian processes.

gaussian-processes gpflow machine-learning tensorflow

Last synced: 23 Aug 2025

https://github.com/ssydasheng/neural-kernel-network

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

extrapolation gaussian-processes kernel-methods machine-learning

Last synced: 06 Oct 2025

https://github.com/yell/mnist-challenge

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

data-augmentation deep-learning deep-neural-networks gaussian-processes k-nn kernel logistic-regression machine-learning mnist neural-network pca python rbm

Last synced: 04 Jul 2025

https://github.com/m-clark/models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

algorithms bayesian cox-model expectation-maximization gaussian-processes gradient-descent hamiltonian-monte-carlo lasso linear-regression logistic-regression machine-learning maximum-likelihood-estimation mixed-models neural-network pca penalized-regression ridge-regression rkhs splines zero-inflated

Last synced: 30 Jun 2025

https://github.com/benman1/time-series

Time-Series models for multivariate and multistep forecasting, regression, and classification

deep-learning deepar forecasting gaussian-processes keras lstm multi-step multivariate nbeats tensorflow time-series transformer

Last synced: 22 Jun 2025

https://github.com/rnburn/bbai

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

bayesian-statistics gaussian-processes hyperparameter-optimization machine-learning python regression-models statistics

Last synced: 14 May 2025

https://github.com/swyoon/pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

gaussian-process gaussian-process-regression gaussian-processes pytorch

Last synced: 27 Apr 2025

https://github.com/elizavetasemenova/prob-epi

Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"

agent-based-modeling bayesian-inference deep-generative-modelling disease-transmission epidemiology gaussian-processes numpyro probabilistic-programming spatial-statistics surrogates

Last synced: 07 Apr 2025

https://github.com/jonghough/jlearn

Machine Learning Library, written in J

clustering convolutional-neural-networks deep-learning ensemble-learning gaussian-mixture-models gaussian-processes hierarchical-clustering j k-means knn-classifier learning lstm machine-learning multilayer-perceptron-network principal-component-analysis rbm restricted-boltzmann-machines self-organizing-map

Last synced: 27 Feb 2025

https://github.com/ziatdinovmax/GPim

Gaussian processes and Bayesian optimization for images and hyperspectral data

bayesian-optimization colab-notebook gaussian-processes hyperspectral-images image-processing lattice-models microscopy

Last synced: 07 May 2025

https://github.com/ziatdinovmax/gpim

Gaussian processes and Bayesian optimization for images and hyperspectral data

bayesian-optimization colab-notebook gaussian-processes hyperspectral-images image-processing lattice-models microscopy

Last synced: 14 Apr 2025

https://github.com/eric-bradford/sdd-gp-mpc

This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).

casadi chemical-engineering constraints differential-equations gaussian-processes machine-learning model-predictive-control monte-carlo-simulation optimization-algorithms python3 state-space-model stochastic-processes

Last synced: 16 Jun 2025

https://github.com/d4l3k/go-bayesopt

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

bayesianoptimization bayesopt blackbox-optimizer gaussian-processes go hyperparameter-optimization machine-learning optimization

Last synced: 12 Apr 2025

https://github.com/johngoertz/gumbi

Gaussian Process Model Building Interface

bayesian-inference gaussian-processes probabilistic-programming python regression

Last synced: 14 Dec 2025

https://github.com/oxfordcontrol/bayesian-optimization

Reference implementation of Optimistic Expected Improvement.

bayesian-optimization convex-optimization gaussian-processes machine-learning tensorflow

Last synced: 18 Jul 2025

https://github.com/mmottl/gpr

Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.

gaussian-process-regression gaussian-processes machine-learning ocaml regression

Last synced: 22 Apr 2025

https://github.com/relf/egobox

Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods

gaussian-processes global-optimization latin-hypercube-sampling mixture-of-experts surrogate-models

Last synced: 15 Mar 2025

https://github.com/alan-turing-institute/mogp-emulator

Package for fitting Gaussian Process Emulators to multiple output computer simulation results.

gaussian-processes hut23 hut23-231 hut23-232 uncertainty-quantification

Last synced: 05 May 2025

https://github.com/jejjohnson/gp_model_zoo

Literature and light wrappers for gaussian process models.

gaussian-processes literature-review model-zoo

Last synced: 07 Apr 2025

https://github.com/juliagaussianprocesses/gplikelihoods.jl

Provides likelihood functions for Gaussian Processes.

gaussian-processes likelihood likelihood-functions

Last synced: 22 Feb 2025

https://github.com/dflemin3/approxposterior

A Python package for approximate Bayesian inference and optimization using Gaussian processes

approximate-inference bayesian-inference bayesian-optimization gaussian-processes inference python

Last synced: 21 Oct 2025

https://jejjohnson.github.io/gp_model_zoo/

Literature and light wrappers for gaussian process models.

gaussian-processes literature-review model-zoo

Last synced: 10 May 2025

https://github.com/thjashin/gp-infer-net

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

gaussian-processes variational-inference

Last synced: 05 May 2025

https://github.com/jonathanwenger/itergp

IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)

gaussian-processes machine-learning neurips-2022 numerical-linear-algebra probabilistic-numerics

Last synced: 22 Mar 2025

https://github.com/geoscienceaustralia/hiqga.jl

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

aem bayesian-inference csem gauss-newton gaussian-processes geophysics images julia-language magnetotellurics non-linear-regression parallel-tempering reversible-jump-mcmc trans-dimensional