jejjohnson

manifold_learning

A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning

kernellib

A simple package with all of my kernel functions.

rbig_eo

Using RBIG and the IT measures for analyzing Earth Observation and climate data.

hsi_python

hyperspectral image routines with python.

manipy

My manifold learning library of semisupervised extensions.

academic_old

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

bnn_model_zoo

I go through some of the latest literature and try implement a few models using libraries.

datasci_template

A minimal template for my datascience projects.

DeepKalmanFilter

Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction

drr

Dimensionality Reduction Using Regression.

emukit

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

fundl

A pedagogical, functional-oriented deep learning library built on top of jax.

gaussian_processes

This is my repository where I play around with all things Gaussian process.

gp_autograd

An implementation of the gaussian process regression algorithm using the numpy autogrid function.

gp_error

Error Propagation with Gaussian Processes for Regression

hsic_alignment

In this repo, I will be looking at how to choose the best parameters for HSIC alignment.

jax-flows

Normalizing Flows in JAX 🌊

jejjohnson.github.io

kernel_derivatives

Experiments using derivatives on kernel models for regularization.

kernel_model_zoo

A few kernel methods models that I have studied and used over the years.

lab_notebook

My lab notebook for my research. Covers various topics from Gaussian processes to Invertible flows.

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

pypackage_template

My minimal python package template for my reproducible code bases.

python_practice

Where I go through to try and understand some python concepts and packages.

pytorch_rbig

rbig_jax

Rotation-Based Iterative Gaussianization (RBIG) using Jax

spanish_blog

sphinx-material

A material-based, responsive theme inspired by mkdocs-material

torchlayers

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks