PlayEdu is a comprehensive open‑source training system built with Spring Boot, MySQL, Redis, MinIO on the backend and React, Redux, Ant Design on the frontend, offering detailed deployment guides, feature overviews, and screenshots for both admin and student portals.
This presentation outlines the fundamentals of computer vision, discusses key factors such as algorithm research, large‑scale training platforms, intelligent data processing, and hardware optimization, and shares practical experiences from DeepGlint on building a world‑class visual AI system and its real‑world applications.
This article describes how the Liulishuo algorithm team designed and implemented a Kubernetes‑based training platform that addresses the iterative, data‑intensive, and resource‑dynamic characteristics of machine learning workloads by pooling resources, enabling rapid provisioning, and optimizing scheduling and storage.
