This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

Abstract: This paper discusses the effectiveness of the Programmed Visual Contents Comparison Method (PVCC) for collaborative learning in computer programming education. Building upon our previous ...

Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! 🐍⚡ This step-by-step tutorial teaches you how to model real-world projectile motion using ...

Master projectile motion simulations using Python functions! 🐍⚡ This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.

Welcome to Python Physics Lesson 5, where we explore projectile motion with drag forces. In this lesson, we go beyond idealized motion to show how air resistance affects trajectories, velocity, and ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

Abstract: This paper addresses the problem of no reference visual quality assessment in point clouds, useful for extended reality communication service such as remote surgery and education. Accurate, ...

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 ...

Learn how to simulate a tipping stick with springs using Python! This video walks you through building a physics-based simulation that models spring forces, tipping motion, and friction step by step.

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

Abstract: 3D point clouds are widely used for robot perception and navigation. LiDAR sensors can provide large scale 3D point clouds (LS3DPC) with a certain level of accuracy in common environment.

Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...