GitHub topics: gp-regression
lcrawlab/GOALS
Code and tutorials for implementing the GlObal And Local Score
Language: R - Size: 1.17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
maka89/Deep-Kernel-GP
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Language: Python - Size: 12.2 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 86 - Forks: 26
lorinanthony/RATE
Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 4
federicobergamin/Gaussian-Process-demo
Interactive Gaussian Process demo, useful for live demonstration when teaching Gaussian Processes.
Language: Python - Size: 1.21 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
arcunique/ExoTransit
Python package for retrieval of properties of exoplanets by model-fitting their transit light curves using MCMC with additional features such as detrending of light curves, GP regression, and continuous monitoring of the retrieval process.
Language: Jupyter Notebook - Size: 5.29 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
lorinanthony/SECT
Code to Implement the Smooth Euler Characteristic Transform (SECT)
Language: R - Size: 27.6 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 2