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 85 gaussian process frameworks tracked. 3 score above 70 (verified tier). The highest-rated is sbi-dev/sbi at 83/100 with 801 stars and 29,734 monthly downloads. 2 of the top 10 are actively maintained.

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

Comparisons in this category

reservoirpy and ReservoirComputing.jl (71 vs 53)