Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

The world’s most popular programming language is losing market share to more specialized languages such as R and Perl, Tiobe ...

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

A python based HTML to text conversion library, command line client and Web service with support for nested tables, a subset of CSS and optional support for providing an annotated output. Inscriptis ...

Just... Python 🐍 — Pure Python, zero dependencies — no C extensions or system libraries, easy to debug, and works anywhere Python runs, including PyPy and ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.