Top 9 Python gaussian-process Projects

d2l-en

6 21,987 8.5 Python

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

5 7,561 5.5 Python

A Python implementation of global optimization with gaussian processes.
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GPflow

1 1,802 5.6 Python

Gaussian processes in TensorFlow
PILCO

2 310 0.0 Python

Bayesian Reinforcement Learning in Tensorflow
deep-kernel-transfer

1 190 10.0 Python

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

2 116 4.5 Python

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
Gumbi

1 48 5.2 Python

Gaussian Process Model Building Interface
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bbai

5 43 5.4 Python

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Project mention: Cubic Spline Interpolation | news.ycombinator.com | 2023-10-22

> In fact, polynomial interpolants in Chebyshev points are problem-free when evaluated by the barycentric interpolation formula. They have teh same behavior as discrete Fourier series for period functions, whose reliability nobody worries about. The introduction of splines is a red herring: the true advantage of splines is not that they converge where polynomials fail to do so, but that they are more easility adapted to irregular point distributions and more localized.
You can see also the software package https://www.chebfun.org/ for Chebyshev interpolations with Matlap and https://github.com/rnburn/bbai for interpolation Chebyshev interpolations of arbitrary dimension functions with sparse grids for Python.

skbel

1 20 2.4 Python

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python gaussian-processes related posts

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It's so fun and useful to me

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[D] Simple model-based RL exercise for master students.

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Index

What are some of the best open-source gaussian-process projects in Python? This list will help you:

	Project	Stars
1	d2l-en	21,987
2	BayesianOptimization	7,561
3	GPflow	1,802
4	PILCO	310
5	deep-kernel-transfer	190
6	Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control	116
7	Gumbi	48
8	bbai	43
9	skbel	20