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1,849–1,872 of 7,218 · Most stars

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

TranslatedAgriculture Knowledge Graph (AgriKG): information retrieval, named entity recognition, relation extraction, intelligent question answering, and decision support in the agriculture domain

  • knowledge-graph
  • named-entity-recognition
  • relation-extraction
  • question-answering

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

  • dichotomous-image-segmentation
  • salient-object-detection
  • camouflaged-object-detection
  • background-removal

TranslatedRecord CS knowlegement with XMind, version 2.0. Use XMind to record some designs of the Linux operating system, networking, C++, Golang, and databases

LaiFeng IOS Live Kit,H264 and AAC Hard coding,support GPUImage Beauty, rtmp transmission,weak network lost frame,Dynamic switching rate

A server-side library for sending Push Notifications to iOS (iPhone/iPad APNS), Android (C2DM and GCM - Google Cloud Message), Windows Phone, Windows 8, Amazon, Blackberry, and (soon) FirefoxOS devices!

TranslatedIntranet penetration, implemented in C++, no public IP needed, compact, easy to use, fast, secure, the best multi-link aggregation (p2p+proxy) mode, not just "one of" the options... this is the intranet penetration tool you really want!

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

Translated《御舆:解码 Agent Harness》(Yuyu, "Imperial Carriage: Decoding the Agent Harness"): 420,000 characters dissecting the Harness skeleton and nervous system of AI Agents — an in-depth analysis of the Claude Code architecture, 15 chapters from the conversation loop to building your own Agent Harness. Online reading website: