gpy

Dynamic causal Bayesian optimisation (NeurIPS 2021)

Robust Gaussian Process with Iterative Trimming

A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system

A functional advanced Guilded Bot template for guilded.py with examples and tutorials

The Pycom onboarding blueprint for the 1NCE IoT Connectivity Suite enables a PySense, in combination with GPy, to communicate with the AWS IoT Core. This enables the functionality to subscribe and publish messages on the IoT Core, by making use of the SIM (IoT Device) specific certificates and keys.

A UDP socket implementation for Pycom devices based on Sequans AT commands that supports IPv6

A SenML implementation for micropython having as concern the limited resources.

Assignment Solutions of Bayesian Methods for Machine Learning Coursera

Group project for my CST Part III Machine Learning and the Physical World (L48) module

project: website

Applications using Gaussian process (python)

Stock Price Forecasting with Gaussian Processes / Penn State University

Gaussian process regression predicting machine-tool energy from machining parameters. Returns calibrated confidence bounds on every prediction rather than point estimates; kernel hyperparameters fit by log marginal likelihood (GPy).