Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...
More serious needs for LF propagation modeling should consider modern software like SPAWAR LWPC since for communications circuits, signal strength is just one part of a complex system. Other necessary ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Version 3.0.0 of this project ends support for Python 2.7, 3.3, and 3.4. We recommend migrating your projects to Python 3.5 or newer as soon as possible. We'll be happy to answer any questions you ...
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.