jlindbloom Goto Github PK
Name: Jonathan Lindbloom
Type: User
Bio: Applied math grad student @ Dartmouth College.
Twitter: qed404
Location: Dallas, TX
Name: Jonathan Lindbloom
Type: User
Bio: Applied math grad student @ Dartmouth College.
Twitter: qed404
Location: Dallas, TX
Exploratory analysis of Bayesian models with Python
Just a collection of notebooks messing around with Bayesian models.
A repo for some measure transport examples.
[Database] CTRPF AR CHEAT CODES TO BE USED WITH CTRPF WITH ACTION REPLAY SUPPORT
Code for scraping Dartlist housing data to create a visualization.
Source for Dartmouth's Applied and Computational Mathematics Seminar (ACMS) webpage.
A simple tool for forecasting using time series of running maximums/minimums.
Code for the paper "Generalized sparsity-promoting solvers for Bayesian inverse problems".
A Python implementation of a conjugate gradient algorithm (GPCG) for solving bound-constrained quadratic programs.
A Python wrapper for MATLAB's gsvd function (generalized singular value decomposition).
Some Python implementations of solvers for hierarchical Bayesian inverse problems.
A repo for visualizing some iterative methods.
Personal website.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Some custom Python linear operators.
A repository for code on an MRI inverse problem.
The code
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Personal website.
Some Python implementations of randomized, matrix-free algorithms for estimating matrix traces, log determinants, diagonals, and diagonals of inverses.
Some Python implementations of regularization parameter selection methods for regularized linear inverse problems.
A Python implementation of a reversible jump perturbation optimization (RJPO) method for sampling high-dimensional Gaussians.
A simple Python module for computing the sample statistics of an array in a running/online fashion.
Some optimization/Monte Carlo codes.
Some simple code for making a finite-rank approximation to a Koopman operator.
Some visualizations for SMU's COVID-19 case data, published here: https://blog.smu.edu/coronavirus-covid-19/cases/
A simple 1D example of doing MCMC in a transformed space to overcome multi-modality.
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.