Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

represent trajectories and mobility flows with proper data structures, TrajDataFrame and FlowDataFrame. manage and manipulate mobility data of various formats (call detail records, GPS data, data from ...

slmsuite combines GPU-accelerated beamforming algorithms with optimized hardware control, automated calibration, and user-friendly scripting to enable high-performance programmable optics with modern ...

This repo provides a step-by-step guide and a template for setting up a Python 🐍 development environment with VScode and Docker 🐳. Docker is an amazing tool, but it has some learning curve. This ...

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

Two sets of SageMaker notebooks and entry point scripts to develop the Headpose Estimator model on Amazon SageMaker. HeadPose_SageMaker_PySDK.ipynb: SageMaker notebook to invoke an entry point python ...

Abstract: This work provides a tutorial to model a nonlinear system by means of a set of linear parameter varying (LPV) systems, linearized around equilibrium points in which the control design will ...

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.