kenzaxtazi

precip-prediction

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

icml23-gpframe

Code and data for 'Beyond Intuition, a Framework for Applying GPs to Real-World Data' presented at the Structured Probabilistic Inference and Generative Modeling Workshop at ICML 2023.

agri-risk

Tool for predicting the financial risk associated with changes crop yields. Part of the AI4ER 2020 Group Team Challenge.

cloud-id

Cloud Identification in Satellite Images using Artificial Intelligence.

pyrocast

An end to end machine learning pipeline for forecasting pyroCb

realworldgp

A practical guide for applying GPs to real-world data

bcm4rcm

Bayesian Committee Machines for Regional Climate Model Ensembling

ci2022

Climate Informatics Hackathon 2022

climate-kernel-learning

Code for 'Kernel Learning for Explainable Climate Science'

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

expr-ssa

ga-ci

load

Code for importing and compatibly formatting data from various sources used during my PhD.

deepsensor

A generic framework for tackling diverse environmental prediction tasks with NPs.

geograph

GeoGraph provides a tool for analysing habitat fragmentation and related problems in landscape ecology. GeoGraph builds a geospatially referenced graph from land cover or field survey data and enables graph-based landscape ecology analysis as well as interactive visualizations.

gpframe

guepard

kenzaxtazi.github.io

Academic website, forked from mmistakes/minimal-mistakes

maml4mlmi4

Coursework for MLMI4 module

mfgp

Multi-Fidelity Gaussian Processes (MFGP) applied to downscaling sparse climatic data.

Same-Size-K-Means

A k-means variation that produces clusters of the same size utilizing the scikit-learn API and related utilities

testsite.io

1, 2, 3 testing