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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SWE-agent is a software engineering tool that uses language models, like GPT-4, to autonomously fix bugs and issues in actual GitHub repositories. It does this by leveraging an Agent-Computer Interface (ACI) to simplify the interactions between the language model and the repository's codebase, which enables the model to browse, view, edit, and execute files more efficiently. With advanced performance in issue resolution, SWE-agent can be highly advantageous for developers seeking to automate debugging, boost productivity, and cut down the time spent on fixing software project bugs. Individuals may want to utilize it to improve the efficiency of their software development processes and take advantage of AI's growing capabilities in code generation and problem-solving within real-world coding environments.
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Metatable.ai is an AI-driven platform designed to simplify the software development process by automating code creation, deployment, and documentation. Utilizing natural language processing, the platform assists users, ranging from entrepreneurs to developers, in building and launching applications with minimal technical skills. By integrating AI support with a strong Rust-based framework, Metatable.ai notably decreases development time and expenses, making it perfect for quickly developing MVPs, customized business applications, or scaling current software without the need for extensive coding expertise or large development teams.
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Cody is a coding assistant powered by AI from Sourcegraph that seamlessly integrates into popular development environments to optimize programming workflows. By utilizing large language models and drawing context from your codebase, it offers intelligent code completion, addresses technical queries, generates and edits code, troubleshoots errors, and clarifies code modifications. Developers and engineering teams leverage Cody to enhance productivity, speed up onboarding, and elevate code quality while ensuring enterprise-level security, making it especially beneficial for those handling complex codebases who require context-aware assistance without interrupting their current workflow.