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arviz

Exploratory analysis of Bayesian models with Python

bayesian-projects

Just a collection of notebooks messing around with Bayesian models.

computational-measure-transport

A repo for some measure transport examples.

ctrpf-ar-cheat-codes

[Database] CTRPF AR CHEAT CODES TO BE USED WITH CTRPF WITH ACTION REPLAY SUPPORT

dartlist-housing-visualization

Code for scraping Dartlist housing data to create a visualization.

dartmouth-acms

Source for Dartmouth's Applied and Computational Mathematics Seminar (ACMS) webpage.

ee-5341---computational-neuroscience

finance-and-networks

fmax

A simple tool for forecasting using time series of running maximums/minimums.

generalizedsparsitysolvers

Code for the paper "Generalized sparsity-promoting solvers for Bayesian inverse problems".

gradient-projected-conjugate-gradient

A Python implementation of a conjugate gradient algorithm (GPCG) for solving bound-constrained quadratic programs.

hierarchical-solvers-for-inverse-problems

Some Python implementations of solvers for hierarchical Bayesian inverse problems.

iterative-method-viz

A repo for visualizing some iterative methods.

jlindbloom.github.io

Personal website.

jlindbloom.github.io_old

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

jlinops

Some custom Python linear operators.

math76mri

A repository for code on an MRI inverse problem.

pe-mrf-code

The code

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

qed404

Personal website.

randomized-trace-logdet-diag

Some Python implementations of randomized, matrix-free algorithms for estimating matrix traces, log determinants, diagonals, and diagonals of inverses.

regularization-toolkit

Some Python implementations of regularization parameter selection methods for regularized linear inverse problems.

rjpo-gaussian-sampling

A Python implementation of a reversible jump perturbation optimization (RJPO) method for sampling high-dimensional Gaussians.

running-stats

A simple Python module for computing the sample statistics of an array in a running/online fashion.

sampi

Some optimization/Monte Carlo codes.

simplekoopman

Some simple code for making a finite-rank approximation to a Koopman operator.

smu-covid-19

Some visualizations for SMU's COVID-19 case data, published here: https://blog.smu.edu/coronavirus-covid-19/cases/

transformed-mcmc-example

A simple 1D example of doing MCMC in a transformed space to overcome multi-modality.

txcov19_inference

A work-in-progress model for COVID-19 infections in Texas taking vaccinations into account, built on PyMC3. Forked from the Priesemann Group's model.