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 ...
Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
Work is full of time-sucking, tedious or annoying tasks, particularly when you’re on a computer. I used to spend hours on stupid chores like reorganizing someone else’s messy spreadsheet. Now, I use ...
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
Andrej Karpathy stripped down the LLM architecture and loss function to basic mathematical operations. Andrej Karpathy, a former researcher at OpenAI and the founder of AI-native education company ...
How Chinese is your car? Automakers are racing to work it out. Modern cars are packed with internet-connected widgets, many of them containing Chinese technology. Now, the car industry is scrambling ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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