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labelstud
Open Source Data Labeling | Label Studio

A flexible data labeling tool for all data types. Prepare training data for computer vision, natural language processing, speech, voice, and video models.

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Innovatiana - Data Labeling Outsourcing à impact !

Découvrez notre offre de Data Labeling Outsourcing, pour vos besoins IA (labellisation et étiquetage de données pour les modèles Computer Vision ou NLP). [...]

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cheapintern

Discover CheapIntern, your affordable solution for AI-driven data labeling. Visit https://www.cheapintern.ai/ to streamline your machine learning projects with cost-effective, high-quality labeling se [...]

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writelabel
WRITELABEL.AI

WRITELABEL.AI is an innovative platform that leverages artificial intelligence to help businesses create and manage product labels efficiently. The website offers advanced tools and features designed [...]

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Open Apps | Open Source App Directory

Curated open-source apps for every task, vetted for quality. Find free, open-source alternatives to the tools you rely on without the SaaS price tag. [...]

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Posit | The Open-Source Data Science Company

The best data science is open source. Posit is committed to creating incredible open-source tools for individuals, teams, and enterprises. [...]

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Leading NLP Labeling and Private LLM Development Platform | Datasaur

Label your data 10x quicker and develop your own enterprise LLMs with our multi-model, best-in-industry tools. [...]

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Open Source Alternatives To Proprietary Software

The world's largest directory for open source software. Discover 500+ popular open source alternatives to proprietary software products. 100% free. [...]

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Open Source GenAI powered chat based Data Engineering tool - Ask On Data

Ask On Data is an AI-powered, open source chat based ETL tool for data engineering. Via chat, it enables tasks like data migration, cleaning, and analysis, making it accessible for data scientists and [...]

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Supavec - The open source RAG as a Service platform.

The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale. [...]

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