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Source channel @githubtrending · Post #14834 · Jun 17

#cuda DeepEP is a special communication library for Mixture-of-Experts (MoE) models. It helps these models work faster and more efficiently by improving how data is shared between different parts of the system. DeepEP supports low-precision operations and can handle data transfer between different types of connections, like NVLink and RDMA. This makes it very useful for both training and using AI models, especially when speed is important. Users benefit from faster processing times and better performance overall. https://github.com/deepseek-ai/DeepEP

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Lsposed Modules Updates Tracker

@lsposed_Modules_Updates_Trackers · Post #6359 · 03/29/2026, 06:00 AM

#Another#QAQ 模块:hk.uwu.reareye 简介:Another yet Xposed module for Xiaomi rear screen / 一个小米妙想背屏增强模块 版本:30-1.0.2-8ab9e88-r30-release 更新时间:2026/03/28 14:07:00 更新日志: https://github.com/killerprojecte/REAREye @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot

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