Pinned Repositories
arviz
Exploratory analysis of Bayesian models with Python
fmax
A simple tool for forecasting using time series of running maximums/minimums.
gradient-projected-conjugate-gradient
A Python implementation of a conjugate gradient algorithm (GPCG) for solving bound-constrained quadratic programs.
gsvdm2py
A Python wrapper for MATLAB's gsvd function (generalized singular value decomposition).
jlinops
Some custom Python linear operators.
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.
SMU-COVID-19
Some visualizations for SMU's COVID-19 case data, published here: https://blog.smu.edu/coronavirus-covid-19/cases/
jlindbloom's Repositories
jlindbloom/gradient-projected-conjugate-gradient
A Python implementation of a conjugate gradient algorithm (GPCG) for solving bound-constrained quadratic programs.
jlindbloom/fmax
A simple tool for forecasting using time series of running maximums/minimums.
jlindbloom/rjpo-gaussian-sampling
A Python implementation of a reversible jump perturbation optimization (RJPO) method for sampling high-dimensional Gaussians.
jlindbloom/gsvdm2py
A Python wrapper for MATLAB's gsvd function (generalized singular value decomposition).
jlindbloom/randomized-trace-logdet-diag
Some Python implementations of randomized, matrix-free algorithms for estimating matrix traces, log determinants, diagonals, and diagonals of inverses.
jlindbloom/regularization-toolkit
Some Python implementations of regularization parameter selection methods for regularized linear inverse problems.
jlindbloom/running-stats
A simple Python module for computing the sample statistics of an array in a running/online fashion.
jlindbloom/SMU-COVID-19
Some visualizations for SMU's COVID-19 case data, published here: https://blog.smu.edu/coronavirus-covid-19/cases/
jlindbloom/arviz
Exploratory analysis of Bayesian models with Python
jlindbloom/bayesian-projects
Just a collection of notebooks messing around with Bayesian models.
jlindbloom/CTRPF-AR-CHEAT-CODES
[Database] CTRPF AR CHEAT CODES TO BE USED WITH CTRPF WITH ACTION REPLAY SUPPORT
jlindbloom/dartlist-housing-visualization
Code for scraping Dartlist housing data to create a visualization.
jlindbloom/EE-5341---Computational-Neuroscience
jlindbloom/finance-and-networks
jlindbloom/jlindbloom.github.io
Personal website.
jlindbloom/jlindbloom.github.io_old
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
jlindbloom/jlinops
Some custom Python linear operators.
jlindbloom/Math76MRI
A repository for code on an MRI inverse problem.
jlindbloom/computational-measure-transport
A repo for some measure transport examples.
jlindbloom/dartmouth-acms
Source for Dartmouth's Applied and Computational Mathematics Seminar (ACMS) webpage.
jlindbloom/GeneralizedSparsitySolvers
Code for the paper "Generalized sparsity-promoting solvers for Bayesian inverse problems".
jlindbloom/hierarchical-solvers-for-inverse-problems
Some Python implementations of solvers for hierarchical Bayesian inverse problems.
jlindbloom/iterative-method-viz
A repo for visualizing some iterative methods.
jlindbloom/PE-MRF-Code
The code
jlindbloom/pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
jlindbloom/qed404
Personal website.
jlindbloom/sampi
Some optimization/Monte Carlo codes.
jlindbloom/simplekoopman
Some simple code for making a finite-rank approximation to a Koopman operator.
jlindbloom/transformed-mcmc-example
A simple 1D example of doing MCMC in a transformed space to overcome multi-modality.
jlindbloom/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.