jejjohnson
A postdoctoral researcher that works Bayesian methods applied to climate extremes. I also love scientific machine learning. I think it will save science!
CSIC-UCM-IGEOMadrid, Spain
Pinned Repositories
rbig_jax
Iterative and Parametric Gaussianization with JAX.
gp_model_zoo
Literature and light wrappers for gaussian process models.
jaxsw
Simple differentiable approximate ocean models built with JAX.
jejeqx
My models that I look at to test out JAX.
manifold_learning
A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning
oceanbench
OceanBench - SSH edition
research_journal
My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.
research_notebook
My personal research notebook with notes, tutorials, and resources written in Jupyterbook.
uncertain_gps
Exploring how to to deal with uncertain inputs with gaussian process regression models.
xrpatcher
A ML-oriented generic patcher for xarray data structures.
jejjohnson's Repositories
jejjohnson/research_notebook
My personal research notebook with notes, tutorials, and resources written in Jupyterbook.
jejjohnson/oceanbench
OceanBench - SSH edition
jejjohnson/xrpatcher
A ML-oriented generic patcher for xarray data structures.
jejjohnson/jaxsw
Simple differentiable approximate ocean models built with JAX.
jejjohnson/ml4ssh
Machine learning applied to interpolate sea-surface height observations from altimetry tracks.
jejjohnson/somax
Simple Ocean Models with JAX
jejjohnson/finitevolX
Finite Volume tools in JAX
jejjohnson/dot_files
My dot files that I often use for in my computing day-to-day life.
jejjohnson/geo_toolz
jejjohnson/jbayesevt
Bayesian Modeling for Extreme Values: Applications to Climate Attribution
jejjohnson/jejeqx
My models that I look at to test out JAX.
jejjohnson/nerf4ssh
Neural Fields for Sea Surface Height Interpolation.
jejjohnson/research_journal_v2
jejjohnson/rs_tools
jejjohnson/ai4oac2023
jejjohnson/BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
jejjohnson/da_toolz
Data Assimilation tools with xarray
jejjohnson/eqx-nerf
Neural Fields with JAX (equinox)
jejjohnson/eqx-trainer
A trainer module for the equinox (JAX) framework.
jejjohnson/fieldx
Custom xarray-like datastructures for fields with JAX
jejjohnson/FiniteDiffX
Finite difference tools in JAX
jejjohnson/functa4eo
Using Functa for generalized interpolators for EO data
jejjohnson/GPfY
Gaussian processes with spherical harmonic features in JAX
jejjohnson/helio_tools
jejjohnson/jejjohnson
My personal README.
jejjohnson/knerf
Minimal neural fields with keras-core.
jejjohnson/mfourdvar
Modern ML-Based Variational Data Assimilation framework
jejjohnson/ml4eo
jejjohnson/ocn-tools
Ocean Utility tools for working with oceanbench.
jejjohnson/spectraldiffx
Spectral Difference tools with JAX