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Turn a code snippet, simple Python module, or a Jupyter notebook into a CodeProject.AI module that can be deployed and used anywhere by everyone. Learn and AI without fighting tools and setup environments.
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8/22/2023 3:32:00 AM by Jin Choi
A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities
3/4/2024 10:26:00 AM by Oliver Kohl
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.
9/25/2024 12:18:00 AM by Mohamed Ashmawy
AlbiruniML is a linear algebra and machine learning library written in pure C# language inspired by tensorflow
3/1/2024 5:17:00 PM by Member 10912276
How to control game elements based on predefined conditions
4/18/2024 1:26:00 PM by Michael Chourdakis
An introduction to machine learning with working C++ code that trains a linear regression model.
12/18/2023 2:12:00 PM by Intel
Leveraging Open-Source AI Technologies with Red Hat OpenShift Data Science and Intel® Architecture
12/27/2023 7:21:00 PM by Miguel Angel Cabrera Miñagorri
Learn to create real-time computer vision applications with a couple of Python functions and a model URI.
4/4/2024 2:00:00 PM by Chris Maunder
This article will show you how to create a module for CodeProject.AI Server that wraps some code that takes a long time to complete
9/19/2023 12:21:00 PM by Cloud Native Apps Team
This article explores the concept of intelligent applications for readers, providing a clear understanding of the role of AI capabilities in modern applications.
11/13/2023 9:02:00 PM by Chris Maunder
This article explores the various self-hosted AI frameworks available and understand their strengths, weaknesses, and compatibility with your project requirements. Make an informed decision that aligns with your organization's goals