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 ...
Learn how to improve coding assignments with clear documentation, better structure, and professional formatting for higher grades and clarity.
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Production-ready test-time compute optimization framework for LLM inference. Implements Best-of-N, Sequential Revision, and Beam Search strategies. Validated with models up to 7B parameters.