Discover how to leverage AI capabilities in .NET applications for generating custom images from textual descriptions with ease.

Learn to create real-time computer vision applications with a couple of Python functions and a model URI.

In this four-part series, you’ll learn how to create an Intelligent App with Azure. This second tutorial demonstrates how to add intelligent features to this user feedback analysis application. Then, it explores how to use your new Intelligent App to analyze user feedback.

The full walkthrough of a bare bones module for CodeProject.AI using Python

This article provides a comprehensive guide to TensorFlow 2.x, covering its execution modes, model building APIs, and insights for choosing the right approach for machine learning projects.

How to implement neural networks for regression in C# ?

In the last article, we created an Intelligent App that leverages Azure AI Vision to analyze images and extract data. We developed an API to perform optical character recognition (OCR) on uploaded images and tested this API locally.

This article explores the use of Stable Diffusion models, focusing on image-to-image generation, using Intel's newly released Intel Data Center GPU Max Series 1100.

Seamlessly convert audio messages to text in .NET using OpenAI's API

Unlock seamless audio transcription capabilities in .NET with OpenAI's API