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gp_model_zoo
Literature and light wrappers for gaussian process models.research_journal
My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.uncertain_gps
Exploring how to to deal with uncertain inputs with gaussian process regression models.research_notebook
My personal research notebook with notes, tutorials, and resources written in Jupyterbook.xrpatcher
A ML-oriented generic patcher for xarray data structures.manifold_learning
A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learningjaxsw
Simple differentiable approximate ocean models built with JAX.ml4ssh
Machine learning applied to interpolate sea-surface height observations from altimetry tracks.somax
Simple Ocean Models with JAXpysim
A package for using similarity measures like HSIC using python.finitevolX
Finite Volume tools in JAXrbig_eo
Using RBIG and the IT measures for analyzing Earth Observation and climate data.research_journal_v2
kernellib
A simple package with all of my kernel functions.dot_files
My dot files that I often use for in my computing day-to-day life.website_academic
My academic website built with quarto.jbayesevt
Bayesian Modeling for Extreme Values: Applications to Climate Attributionjaxkf
Kalman Filters with Modern ML methods.geo_toolz
hsi_python
hyperspectral image routines with python.nerf4ssh
Neural Fields for Sea Surface Height Interpolation.jejeqx
My models that I look at to test out JAX.manipy
My manifold learning library of semisupervised extensions.rbig
Rotation-Based Iterative Gaussianization (RBIG) - a gaussianization algorithm with information measures.Love Open Source and this site? Check out how you can help us