Kenza Tazi's Projects
Tool for predicting the financial risk associated with changes crop yields. Part of the AI4ER 2020 Group Team Challenge.
Bayesian Committee Machines for Regional Climate Model Ensembling
Climate Informatics Hackathon 2022
Code for 'Kernel Learning for Explainable Climate Science'
Cloud Identification in Satellite Images using Artificial Intelligence.
A generic framework for tackling diverse environmental prediction tasks with NPs.
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
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.
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.
Academic website, forked from mmistakes/minimal-mistakes
Code for importing and compatibly formatting data from various sources used during my PhD.
Coursework for MLMI4 module
Multi-Fidelity Gaussian Processes (MFGP) applied to downscaling sparse climatic data.
Application of Gaussian Processes to predicting local precipitation in the Upper Indus Basin, Himalayas.
An end to end machine learning pipeline for forecasting pyroCb
A practical guide for applying GPs to real-world data
A k-means variation that produces clusters of the same size utilizing the scikit-learn API and related utilities
1, 2, 3 testing