GitFounders
About Zilliz's Towhee
Towhee is an open-source machine learning pipeline framework that encodes various unstructured data modalities—from images and text to 3D molecular structures—into embeddings. It offers end-to-end pipeline optimizations that enhance speed by up to 10x, and provides access to over 700 pre-trained models across fields such as CV, NLP, multimodal, audio, and medical. With its intuitive method-chaining API and seamless integration with popular libraries, Towhee streamlines the development of production-ready neural data processing pipelines.
Key Features
- Python API for rapid prototyping and production optimization
- Supports nearly 20 different unstructured data modalities
- Pipeline execution accelerated by complete end-to-end optimizations
- Access to 700+ pre-trained embedding models spanning multiple domains
- Fully integrated with popular libraries and frameworks
- Pythonic method-chaining API with schema support
Summary
Towhee transforms the process of building neural data processing pipelines by providing an efficient, integrated, and highly optimized framework. Its extensive model library and versatile data modality support empower developers to quickly create and scale innovative machine learning solutions.
