Explore Python Physics Lesson 10 and learn how to visualize a mass on a spring in 3D using Python simulations. This lesson walks you through modeling oscillatory motion, understanding spring dynamics, ...
Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...
This repository is optimized for Kaggle dual Tesla T4 notebooks and small GGUF models (1B-5B parameters, Q4_K_M quantization). It ships lightweight Python code and downloads large CUDA binaries on ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: This paper presents a new category that has been added to the classification of Kim and Ko (2017) for programming learning systems, namely the Online Coding Tutorial System (OCTS) category.