✨We are dedicated to advancing research and open-source tools in Data-Centric Artificial Intelligence (DCAI).✨
🚀Our goal is to develop effective and efficient DCAI systems and algorithms that support and enhance the performance of AI models and applications.
A flexible framework for orchestrating deep learning models with Ray . It dynamically schedules and serves multiple models — from NLP (e.g., FastText) to CV (e.g., YOLO, SAM) — enabling scalable, distributed, and efficient multi-model inference.
DataFlex is a data-centric training framework that enhances model performance by either selecting the most influential samples, optimizing their weights, or adjusting their mixing ratios.
Ray-powered accelerator for MinerU, turning PDF → Markdown into a scalable, cluster-ready data infrastructure. 基于 Ray 的 MinerU 加速层，将 PDF → Markdown 构建为可扩展、面向集群的数据基础设施。
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