Towhee is an open-source framework that provides machine learning pipelines for encoding unstructured data—such as text, images, audio, and more—into embeddings. It supports a wide range of modalities and offers integration with popular ML frameworks, making it suitable for machine learning engineers and data scientists seeking to streamline data processing and model deployment.
Towhee is an Infrastructure & Backend product. It focuses on automating the process of encoding unstructured data into embeddings for machine learning tasks. It is built as an open-source project for machine learning engineers and data scientists. Towhee is open source under the Apache-2.0 license. Towhee is available on the web, the command line, and API, and it can be self-hosted.
Towhee first shipped in 2021. Development happens publicly on GitHub with 3.4k stars. Key capabilities include pipeline automation, multi-modal support, and pre-trained models. It exposes integrations via a public API.
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