💻 local machines, e.g., macOS (+ Apple Silicon/MPS) and Linux/Windows WSL (+ NVIDIA GPU). 🌐 Remote Linux servers with GPUs, e.g., VMs on cloud providers and IC and RCP HaaS at EPFL. ☁️ Managed ...
Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...
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 ...
Abstract: Efficiency maps (EffMs) illustrate the maximum efficiencies of electric machines over a range of torque-speed operating points. This article reviews the available techniques for efficiency ...
Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
Python’s packaging ecosystem is under growing strain as development teams move away from pip in production environments, citing performance bottlenecks, fragile dependency resolution and rising ...
Focus on One Area: Robotics is broad. You could focus on programming first, then move to electronics, or vice versa. Trying ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
deduplify is a Python command line tool that will search a directory tree for duplicated files and optionally remove them. It generates an MD5 hash for each file recursively under a target directory ...