💻 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 how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...
Abstract: Even though the task of multiplying matrices appears to be rather straightforward, it can be quite challenging in practice. Many researchers have focused on how to effectively multiply two 2 ...
Research Institute for Chemical Process Technology, National Institute of Advanced Industrial Science and Technology (AIST), 4-2-1 Nigatake, Miyagino-ku, Sendai 983-8551, Japan ...
A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Google's AI-powered coding agent, Jules, is officially out of beta. The service, which is designed to integrate directly with GitHub, was first announced in December 2024 as a Google Labs project. It ...