Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Create appealing UIs for Python Apps through the web-technologies HTML, CSS and Javascript, using frameworks like React, Preact and Tailwind CSS for styling. Call Python function and methods from ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
gRPC client/server example in Python including SSL support. The example service implements a simple shopping list back end. Clients can perform the following operations: The test directory contains ...
A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics
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.
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