AI

This guide walks you through the installation process of Artbreeder on Ubuntu, explaining the necessary setup steps. It also includes a use case showcasing how Artbreeder’s AI-driven tools can generate stunning, unique images by blending and evolving art styles, ideal for artists and creative professionals.

This guide provides a step-by-step walkthrough for installing DeepArt.io on an Ubuntu server, detailing the system requirements, installation process, and basic usage. Additionally, it covers a practical use case of transforming images into artwork using DeepArt.io’s neural style transfer technology, ideal for artists and AI enthusiasts.

Stable Diffusion is a powerful open-source AI model for generating high-quality images from text. This guide details the step-by-step installation of Stable Diffusion on an Ubuntu VPS, alongside an example use case for AI-driven creative image generation.

This guide provides a step-by-step process to install Theano on Ubuntu. It covers setting up Python, creating a virtual environment, and installing Theano with both CPU and GPU support. Theano is an efficient deep learning library ideal for building and training machine learning models.

This comprehensive guide walks you through the process of installing JAX on Ubuntu, including setting up Python, creating a virtual environment, and installing JAX with both CPU and GPU support. JAX enables high-performance machine learning models with accelerated computation, perfect for researchers and developers.

This guide provides a detailed step-by-step process for installing Apache MXNet on Ubuntu. It includes instructions for setting up Python, creating a virtual environment, and installing MXNet with both CPU and GPU support. Perfect for those looking to dive into deep learning using MXNet.

This guide walks you through the installation of Keras on Ubuntu, including setting up Python, creating a virtual environment, and installing TensorFlow (which includes Keras). It also covers optional GPU support for faster model training, making it an essential resource for deep learning enthusiasts.

This article provides a detailed step-by-step guide on installing PyTorch on Ubuntu, covering both CPU and GPU setups. Learn how to set up your environment, install required dependencies, and run your first PyTorch script, enabling you to harness the power of deep learning for your projects.

This article provides a detailed guide on installing TensorFlow on Ubuntu, including system requirements, installation steps, and a simple example. Whether you’re a beginner or an experienced developer, you'll learn how to leverage TensorFlow for machine learning tasks.

This article provides a comprehensive guide on installing TensorFlow.js on an Ubuntu system. It covers prerequisites, installation steps, and a simple example to help you get started with this powerful JavaScript library for machine learning in the browser and on Node.js.