Teachable Machine
Pricing model
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Teachable Machine is an online tool that allows users to swiftly and effortlessly build machine learning models without the need for coding. It offers flexibility by enabling users to utilize files or capture examples in real time. This tool can classify images, audio, and poses, and the models generated can be exported for implementation in websites, applications, and beyond.
Similar neural networks:
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Factory AI is a professional software development platform that utilizes AI-driven "Droids" to automate and optimize the full engineering process—from generating and testing code to creating documentation and solving incidents. It integrates code, documentation, and tickets into one cohesive workspace, all while adhering to rigorous security and compliance standards (SOC 2, ISO 42001). Engineering teams select Factory AI to boost productivity, speed up development timelines, address incidents more swiftly, and realize tangible cost reductions, all while ensuring enterprise-grade data privacy and security that generic AI solutions often do not provide.
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The AI Code Converter is a tool designed to transform code from one programming language to another. It accommodates a broad spectrum of languages, such as Assembly Language, Bash, Binary Code, C, C#, C++, Clojure, COBOL, CoffeeScript, CSS, Dart, Decimal Code, Elixir, Fortran, Go, Groovy, Haskell, Hex Code, HTML, Java, JavaScript, JSX, Julia, Kotlin, Lisp, Lua, Matlab, Morse Code, Natural Language, NoSQL, Objective-C, Pascal, Perl, PHP, PL/SQL, Powershell, Pseudo Code, Python, R, Racket, Ruby, Rust, SAS, Scala, SQL, Swift, SwiftUI, TSX, TypeScript, Visual Basic .NET, and Vue. Furthermore, it has the capability to produce code from natural language.
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AgentRPC serves as a universal layer for Remote Procedure Calls (RPC), facilitating the connection of AI agents and workflows to functions deployed across different networks and environments. It integrates tools from various programming languages, offers automated service discovery and routing, and is compatible with numerous AI model SDKs. Developers and organizations creating AI agents or intricate distributed systems might leverage AgentRPC to enhance cross-network functionality, support language-independent development, manage long-duration functions, boost observability, and standardize tool definitions for AI models, ultimately simplifying the integration of AI agents with diverse function ecosystems.