Gaussian Process Frameworks

Specialized libraries and implementations for Gaussian Process modeling, inference, and training. Includes frameworks for GP regression, variational inference, sparse approximations, and scalable GP computation. Does NOT include general probabilistic programming, Bayesian optimization tools, or other probabilistic models.

There are 88 gaussian process frameworks tracked. 3 score above 70 (verified tier). The highest-rated is sbi-dev/sbi at 80/100 with 801 stars. 2 of the top 10 are actively maintained.

Get all 88 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	sbi-dev/sbi sbi is a Python package for simulation-based inference, designed to meet the...	80	Verified	801	Python
2	SMTorg/smt Surrogate Modeling Toolbox	73	Verified	861	Jupyter Notebook
3	reservoirpy/reservoirpy A simple and flexible code for Reservoir Computing architectures like Echo...	70	Verified	614	Python
4	GPflow/GPflow Gaussian processes in TensorFlow	63	Established	1,905	Python
5	thousandbrainsproject/tbp.monty Monty is a sensorimotor learning framework based on the thousand brains...	61	Established	498	Python
6	dswah/pyGAM [CONTRIBUTORS WELCOME] Generalized Additive Models in Python	61	Established	979	Python
7	cbueth/infomeasure Python package for calculating various information measures, including...	60	Established	62	Python
8	SciML/ReservoirComputing.jl Reservoir computing utilities for scientific machine learning (SciML)	57	Established	226	Julia
9	lbl-camera/fvGP A software package for flexible HPC GPs	56	Established	15	Python
10	locuslab/qpth A fast and differentiable QP solver for PyTorch.	56	Established	785	Python
11	PaddlePaddle/PaddleMaterials PaddleMaterials is a data-mechanism dual-driven, foundation model...	55	Established	87	Python
12	esa/dSGP4 dSGP4: differentiable SGP4. Supports differentiability, ML integration &...	55	Established	82	Python
13	PaddlePaddle/PaddleCFD PaddleCFD is a deep learning toolkit for surrogate modeling, equation...	53	Established	59	Python
14	llnl/MuyGPyS A fast, pure python implementation of the MuyGPs Gaussian process...	51	Established	36	Python
15	blindedjoy/RcTorch a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning	51	Established	46	Jupyter Notebook
16	undark-lab/swyft A system for scientific simulation-based inference at scale.	49	Emerging	167	Jupyter Notebook
17	rssalessio/PytorchRBFLayer Pytorch RBF Layer implements a radial basis function layer in Pytorch....	48	Emerging	52	Python
18	uber-research/differentiable-plasticity Implementations of the algorithms described in Differentiable plasticity:...	48	Emerging	410	Python
19	mhpi/generic_deltamodel Generic framework for building differentiable models.	48	Emerging	20	Python
20	Harry24k/bayesian-neural-network-pytorch PyTorch implementation of bayesian neural network [torchbnn]	47	Emerging	554	Python
21	inEXASCALE/pychop A Python package for simulating low precision arithmetic in scientific...	47	Emerging	12	Python
22	johannesulf/nautilus Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics	46	Emerging	102	Python
23	dpiras/GMM-MI Estimation of mutual information (MI) distribution with Gaussian mixture...	45	Emerging	23	Jupyter Notebook
24	anassinator/bnn Bayesian Neural Network in PyTorch	45	Emerging	93	Python
25	AmanPriyanshu/Deep-Belief-Networks-in-PyTorch The aim of this repository is to create RBMs, EBMs and DBNs in generalized...	44	Emerging	69	Python
26	kekeblom/DeepCGP Deep convolutional gaussian processes.	44	Emerging	82	Jupyter Notebook
27	tfm000/sklarpy Copula fitting in Python.	44	Emerging	13	Python
28	ziatdinovmax/gpax Gaussian Processes for Experimental Sciences	44	Emerging	233	Python
29	ThGaskin/NeuralABM Neural parameter calibration for multi-agent models. Uses neural networks to...	43	Emerging	32	Jupyter Notebook
30	reservoirpy/reservoirR Experimental R interface for ReservoirPy	43	Emerging	6	R
31	EricssonResearch/illia Framework agnostic Bayesian Neural Network library.	42	Emerging	7	Python
32	Priesemann-Group/nninfo A Python Package for the Analysis of Deep Neural Networks using Information Theory	41	Emerging	8	Jupyter Notebook
33	francocerino/scikit-reducedmodel Reduced Order Models in a scikit-learn approach.	40	Emerging	9	Jupyter Notebook
34	stevenabreu7/handson_reservoir Repository for paper "Hands-on reservoir computing" (NCE, 2022)	40	Emerging	31	Jupyter Notebook
35	luizfernandolj/mlquantify A Python Quantification Library	39	Emerging	9	Python
36	dl4to/dl4to DL4TO is a Python library for 3D topology optimization that is based on...	39	Emerging	124	Jupyter Notebook
37	zakeria/uGMM A novel neural architecture that embeds probabilistic reasoning directly...	38	Emerging	8	Python
38	JuliaEpi/MathEpiDeepLearning Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on...	38	Emerging	32	JavaScript
39	AdityaLab/GradABM [AAMAS 2023] Differentiable Agent-based Epidemiology	37	Emerging	24	Python
40	HarikrishnanNB/stochastic_resonance_and_nl Stochastic Resonance in Neurochaos Learning	37	Emerging	18	Python
41	plainerman/Variational-Doob Lagrangian formulation of Doob's h-transform allowing for efficient rare...	36	Emerging	57	Jupyter Notebook
42	tschuelia/PyPythia Lightweight python library for predicting the difficulty of alignments in...	36	Emerging	21	Python
43	smidmatej/RGP Recursive Gaussian Process regression allows performing GP regression, while...	35	Emerging	8	Jupyter Notebook
44	gaoliyao/BayesianSindyAutoencoder Bayesian autoencoders for data-driven discovery of coordinates, governing...	35	Emerging	12	Jupyter Notebook
45	Eric-Bradford/SDD-GP-MPC This repository contains the source code for "Stochastic data-driven model...	35	Emerging	67	Python
46	EmanuelSommer/MILE Code for the ICLR 2025 paper: "Microcanonical Langevin Ensembles: Advancing...	35	Emerging	8	Python
47	PrzeChoj/gips gips - Gaussian model Invariant by Permutation Symmetry	34	Emerging	9	R
48	scikit-learn-contrib/bde Bayesian Deep Ensembles via MILE: easy to use, scikit-learn compatible and...	32	Emerging	41	Python
49	kylesayrs/GMMPytorch Pytorch implementation of same-family gaussian mixture models with...	32	Emerging	26	Python
50	AaltoML/sfr PyTorch implementation of Sparse Function-space Representation of Neural Networks	32	Emerging	5	Jupyter Notebook
51	MartinuzziFrancesco/reservoir-computing-examples Scripts for the examples in the ReservoirComputing.jl documentation	32	Emerging	5	Julia
52	OSJL-py/PRCpy Simple modular python package for physical reservoir computing. Use your own...	32	Emerging	13	Python
53	ShuaiGuo16/Gaussian-Process Implementing a Gaussian Process regression model from scratch	32	Emerging	24	Jupyter Notebook
54	BGU-CS-VIL/DPMMSubClustersStreaming.jl Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models...	31	Emerging	4	Julia
55	Song921012/MathEpiDeepLearningTutorial Tutorials on math epidemiology and epidemiology informed deep learning methods	31	Emerging	4	Julia
56	montefiore-institute/balanced-nre Code for the paper "Towards Reliable Simulation-Based Inference with...	31	Emerging	14	Jupyter Notebook
57	Zheng-Meng/Reservoir-Computing-and-Hyperparameter-Optimization Reservoir computing for short-and long-term prediction of chaotic systems,...	31	Emerging	30	MATLAB
58	anassinator/gp Differentiable Gaussian Process implementation for PyTorch	30	Emerging	22	Python
59	april-tools/gasp gasp! - GPU Accelerated Simplical Polynomial Integrator	30	Emerging	10	Python
60	yuhung1206/Gaussian-Process-for-Regression Implementation of Guassion Process (GP) for regreesion with the...	29	Experimental	7	MATLAB
61	Pythoniasm/slxpy-fork Fork from slxpy, a Simulink-to-Python C++ bindings generator, cf....	29	Experimental	5	MATLAB
62	JonathanWenger/itergp IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)	29	Experimental	43	Python
63	dumingyang20/BABNet-pytorch This is the original implementation of the paper ''Robust Bayesian attention...	28	Experimental	8	Python
64	AlCorreia/cm-tpm Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models	27	Experimental	12	Jupyter Notebook
65	zgbkdlm/ssdgp State-space deep Gaussian processes in Python and Matlab	27	Experimental	30	Jupyter Notebook
66	ma921/BASQ (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via...	27	Experimental	19	Python
67	Mathepia/awesome-sciml Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages....	27	Experimental	14	JavaScript
68	vsimkus/torch-reparametrised-mixture-distribution PyTorch implementation of the mixture distribution family with implicit...	22	Experimental	19	Python
69	raviq/GGMMu Utility function fitting using Generalized Gaussian Mixture Models (GGMM)	22	Experimental	—	Python
70	byoung77/hdp-hmm-te Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model with...	22	Experimental	—	Julia
71	sandialabs/convergence-behavior-pcg-rich-iclr2026 Code to reproduce the results to the ICLR 2026 paper "On the Convergence...	22	Experimental	—	HTML
72	rmehmood786/reservoir-computing-esn-experiments Implementation of Echo State Networks (ESN) with experiments on MNIST and...	21	Experimental	3	Jupyter Notebook
73	spdes/chirpgp Chirp instantaneous frequency estimation using stochastic differential...	21	Experimental	13	Python
74	vardhah/Batch-mode-DeepAL-for-regression Data efficient surrogate modeling for engineering design: Ensemble-free...	21	Experimental	11	Jupyter Notebook
75	RCEconModelling/LibESN A new Echo State Network library	20	Experimental	5	Jupyter Notebook
76	aidinattar/info-bottleneck A Python library for calculating and visualizing mutual information in...	20	Experimental	5	Python
77	ghanrabban/MATLAB-Bayesian-Optimized-Neural-Network-for-Laser-Amplifier MATLAB code of Bayesian Optimized Neural Network (BONN) for Gain Coefficient...	20	Experimental	7	MATLAB
78	himanshuvnm/Generalized-Gaussian-Radial-Basis-Function-in-Artificial-Intelligence-MATLAB This is the recent work of my on the importance and application of...	20	Experimental	2	MATLAB
79	nisaral/Casual_dynamical_AI A first-principles exploration of the physics, calculus, and probabilistic...	20	Experimental	5	Jupyter Notebook
80	Spinkoo/Simulink-based-inference This repo contains examples of how to use Simulink simulation to perform...	20	Experimental	6	Jupyter Notebook
81	simonschoelly/GraphKernels.jl A Julia package for kernel functions on graphs	19	Experimental	3	Julia
82	BALOGHBence/demo-steel-beam-cross-section-optimization-ML Demo project for ML-driven optimization of steel beam cross sections in Python	17	Experimental	—	—
83	Zessinthel/Stochastic-Machine Procesos estocásticos, redes neuronales y modelos generativos para físicos...	14	Experimental	—	TeX
84	334456777/wgmm Bilibili video monitoring with WGMM machine learning for adaptive scheduling	14	Experimental	—	Python
85	plugyawn/gp-zoo A repository with implementations of major papers on Gaussian Process...	13	Experimental	14	Jupyter Notebook
86	tiskw/gaussian-process-bootstrapping-layer PyTorch implementation of the Gaussian process bootstrapping layer	12	Experimental	1	Python
87	alspitz/issgpr Incremental Sparse Spectrum Gaussian Process Regression	12	Experimental	5	C++
88	MansoorehMontazerin/LIES [NeurIPS 2025 ML4PS] Official implementation of the LIES Network for...	10	Experimental	1	Python

Comparisons in this category

reservoirpy and ReservoirComputing.jl (70 vs 57)