Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

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, ...

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

create ros2 workspace for converter (ex. $HOME/ros_ws/converter) clone this repository into converter workspace clone dependency repos build converter workspace ...

Deep learning methods for motion tracking have revolutionised a range of scientific disciplines, from neuroscience and biomechanics, to conservation and ethology. Tools such as DeepLabCut and SLEAP ...

I just wrapped a two-day leadership retreat with one of my clients. We spent two full days off-site with their entire leadership team—no distractions, no walk-in repairs, no guest complaints ...