A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.

Gaussian Process Regression using GPML toolbox

A python implementation of Multiple Imputation with Neural Network Gaussian Process

A curated list of Google Earth Engine resources

An open source library and framework for deep learning on satellite and aerial imagery.

Techniques for deep learning with satellite & aerial imagery

☂️🛰️ This work is for a NASA-funded project using Earth observations to improve methods available for estimating the health damages of extreme weather events in Texas.

This repo contains my work on MAP estimation for classifying healthy and diseases samples in ECG data, as well as assignments related to Bayesian regression, generalised linear models, Gibbs sampli…

Hands on Implementation from Scratch for Multivariate Linear Regression, Regression Forest, Gaussian Process and k-Nearest Neighbours

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

A python module for the extraction of sentiment and sentiment-based plot arcs from text.

interactive gaussian process modelling with d3.js

A(nother) tutorial about Gaussian process regression

This repository contains the code for the paper "Sentiment-driven statistical causality in multimodal systems", by Ioannis Chalkiadakis, Anna Zaremba, Gareth W. Peters and Michael J. Chantler.

Application of Gaussian Processes to predicting local precipitation in the Upper Indus Basin, Himalayas.

implementation of continuous space topic model for modeling text through gaussian processes

Bayesian Optimization using Gaussian Processes + web interface with result visualizations

Graded projects of the course "Probabilistic Artificial Intelligence", ETH Zürich (Fall 2020). Topics: Gaussian Process Regression, Bayesian Neural Networks, Bayesian Optimization, Deep Reinforceme…

📈 Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2

Gaussian process regression

Repository of my talk for Bayes@Lund 2017

Time series anomaly detection via decomposition and gaussian process regression.

Official repository for the paper "Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation"

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

Plot current and predict future traffic in Helsinki region using Gaussian process regression

predicting vegetation health from precipitation and temperature

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Crop Yield Prediction with Deep Learning