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

RTNNIgen – An Open-Source PLC Library and Python Generator Converting Keras Models to Realtime Capable Structured Text

Abstract: Recent advances in AI research are boosting the relevance of realtime neural networks in automation technology. To facilitate the deployment of trained neural networks for realtime ...
GitHub

pypress: Predictive State Smoothing (PRESS) in Python (tf.keras)

Predictive State Smoothing (PRESS) is a semi-parametric statistical machine learning algorithm for regression and classification problems. pypress is using TensorFlow Keras to implement the predictive ...
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 ...