Gaussian process latent variable models with shared latent spaces (SGPLVM)
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Updated
Jan 8, 2015 - MATLAB
Gaussian process latent variable models with shared latent spaces (SGPLVM)
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
Plot current and predict future traffic in Helsinki region using Gaussian process regression
C++ Gaussian Process Library
Surrogate-Assisted Tuning
Machine Learning Assignments (UvA '15 '16)
Automatic data preprocessing and optimization of the MLP architecture
Unifying sparse approximations for Gaussian process regression and classification, using Power EP
Python code for bayesian optimization using Gaussian processes
Fitting Gaussian curve of timeseries with matlab
Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time
Gaussian process regression with derivation observations
The MNIST dataset tackled by several machine learning models coded from scratch
Simple C++ library for Gaussian process regression
The cavity is a generative hole from lines with Gaussian function.
Python Machine Learning API for Gaussian Process Regression and Convolutional Kernels for Multitask Learning
GPoFM: Gaussian Process Training with Optimized Feature Maps for Shift-Invariant Kernels
Understanding Poverty through Data
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