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

Explore non-trivial 1D square wells in Python with this detailed physics tutorial! 🐍⚛️ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

sdu_modeling is a Python library for robot modeling and estimation of inertial parameters. The library is developed and maintained by the SDU Robotics group at University of Southern Denmark (SDU).

Department of Materials, Manchester Institute of Biotechnology, School of Natural Sciences, Faculty of Science and Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, United ...

Abstract: Designing effective topic models for long and unstructured documents is essential for detecting significant topics within them. However, traditional topic modeling approaches have certain ...

Meet the new DeepSeek, now with more government compliance. According to a report from Reuters, the popular large language model developed in China has a new version called DeepSeek-R1-Safe, ...

To ensure that the topics extracted through LDA modeling had high quality and representativeness, the study used the CoherenceModel class from the Gensim library (an open-source Python library ...

Topic modeling is an unsupervised learning technique that automatically extracts latent topics from large-scale text data. In particular, Latent Dirichlet Allocation (LDA) derives topics under the ...