Gaussian Processes using information from the 2-point correlation function and mean function
BSD-3-CLAUSE License
The tiniest of Gaussian Process libraries
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMR...
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and ...
🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.
Graph: Representation, Learning, and Inference Methods
Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to
Gaussian Processes for Experimental Sciences
Implementation of the GPCM and variations
Gaussian processes and Bayesian optimization for images and hyperspectral data
Fast Convergence of Conjugate Gradients in Sparse Gaussian Processes
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Genetic Programming in Python, with a scikit-learn inspired API
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PSFs In the Full FOV. A software package for modeling the point-spread function (PSF) across the...