AIVision

by rajasekar

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.

Use the open source, cloud APIs, or public libraries listed below in your application development based on your technology preferences, such as primary language. The below list also provides a view of the components' rating on different dimensions such as community support availability, security vulnerability, and overall quality, helping you make an informed choice for implementation and maintenance of your application. Please review the components carefully, having a no license alert or proprietary license, and use them appropriately in your applications. Please check the component page for the exact license of the component. You can also get information on the component's features, installation steps, top code snippets, and top community discussions on the component details page. The links to package managers are listed for download, where packages are readily available. Otherwise, build from the respective repositories for use in your application. You can also use the source code from the repositories in your applications based on the respective license types.

Solution Source, Deployment Instructions are not available for this kit.

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AI-Expert-Roadmapby AMAI-GmbH

Roadmap to becoming an Artificial Intelligence Expert in 2021

JavaScript Updated: 3 mo ago License: Permissive

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warriorjsby olistic

🏰 An exciting game of programming and Artificial Intelligence

JavaScript Updated: 7 mo ago License: Permissive

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aima-pythonby aimacode

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Jupyter Notebook Updated: 4 mo ago License: Permissive

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