GitHub

Computational Methods for Economists using Python, by Richard W. Evans

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...
IEEE

PyGB: GraphBLAS DSL in Python with Dynamic Compilation Into Efficient C++

Abstract: We present PyGB, a high-level Python domainspecific language (DSL) for GraphBLAS building blocks for graph algorithms. GraphBLAS is based on a small number of linear algebra operations, and ...
GitHub

c-lasso: a Python package for constrained sparse regression and classification

c-lasso is a Python package that enables sparse and robust linear regression and classification with linear equality constraints on the model parameters. For detailed info, one can check the ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...