TGINSIGHT SIMILAR POSTS
Source channel @olddriverGDstudy · Post #49 · Mar 24
江湖舔狗传 江湖者，江湖也！ 各兄弟五湖四海汇聚一堂，为的是个情字，讲的是个义字，说的是个道理。 江湖上无数前辈好汉，忍饥挨饿，夜以继日，通宵达旦，上下求索，陷过无数的坑，踏破无数双鞋换得了有限的几个极品资源，未曾敢占为己有，而是毫无保留，无私公布奉献。 这一切为什么？为的是天下草根、屌丝们，不受仙人跳之苦，不遭各种骗费之难，不枉花了辛苦搬砖的银两盘缠，这是多么高尚的精神，多么高贵的品质啊！ 江湖就是江湖，林子大了什么鸟儿都有，舔狗们也像病毒般出没，为害人间。这些禽兽毫无尊严、毫无底线，从溜须拍马、到阿谀奉承，从冷屁股到甜盘子全方位无死角。 舔狗，做着劝婊子从良的梦，抱着救风尘女子出火坑的“崇高”的性幻想，岂不知自己已是婊子口中的笑话！ 江湖有江湖的规矩，江湖有江湖的原则，江湖有江湖的风貌，江湖有江湖的脾气。 我知舔狗是死不光的，这一车死光了，下一车还在路上。 但舔狗永远不过是个道具而已，又何必自作多情。 舔狗，你听，电话声已响起，你的钟到了！闭上臭嘴，滚出去把门关上！ 作者：41秒哥 标签：#语录
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Search: #graph
@Isaiahsystem · Post #1203 · 06/30/2024, 07:23 AM
Related Subreddits丨Reddit 探索神器 https://anvaka.github.io/sayit/?query=Nietzsche 最近发现的爆炸网站，Reddit 相关论坛探索，Reddit 关键词图谱。它能根据你给出的任意论坛名字或关键词，编织出整个论坛与之相关的子板图谱，与之关联。点击图谱按钮，再点击弹出的侧边栏子板名字，即可跳转。 网站提到这种图谱关系生成由「发布到此 Subreddit 的用户也发布过的其它板块」决定，并通过 Jaccard Similarity（衡量两个集合相似度的指标）来最终确定板块相似度。 Reddit 作为我 RSS 常驻网站之一，挖掘得比较少，这个网站可以好好用用。它类似前面用过的 music map 以及各种论文网站图谱，详情见下面 refs. 相关链接 1 可视化图谱 2 搜索引擎终极索引 #search#graph#tools
@githubtrending · Post #14632 · 04/25/2025, 12:00 PM
#python#agents#graph#llms#rag Graphiti helps AI systems handle constantly changing information by building real-time knowledge graphs that track relationships and historical data, allowing them to integrate user interactions, business data, and external sources seamlessly. Unlike traditional methods, it updates information instantly without needing full recomputations, enabling precise historical queries and efficient hybrid searches. This helps AI applications stay context-aware, automate tasks effectively, and manage complex, evolving data with minimal delay. https://github.com/getzep/graphiti
@thedevs · Post #1384 · 02/01/2019, 08:02 PM
Data structures 101: graphs, a visual introduction for beginners. #article#tutorial#data#ds#graph @thedevs https://kutt.it/4S6HBr
@tsukassadrive · Post #3010 · 01/08/2026, 02:55 AM
#twitter#animals#dogs#science#physics#graph#mongolia
@cosplayuploadtest2 · Post #102714 · 03/23/2025, 03:36 AM
Title: Iori_Sagara_相楽伊織,_GIRLS_graph._デジタル写真集_「泡沫の宵夢」_Set.02 Authors: #None Tags: #None#Iori_Sagara_相楽伊織#Nogizaka46_乃木坂46#デジタル写真集#Iori#Sagara#相楽伊織#GIRLS#graph#デジタル写真集 #「泡沫の宵夢」 #Set #02 recommendation: None TelegraphLinks:page-0-32
@cosplayuploadtest2 · Post #102682 · 03/23/2025, 03:34 AM
Title: Iori_Sagara_相楽伊織,_GIRLS_graph._デジタル写真集_「泡沫の宵夢」_Set.01 Authors: #None Tags: #None#Iori_Sagara_相楽伊織#Nogizaka46_乃木坂46#デジタル写真集#Iori#Sagara#相楽伊織#GIRLS#graph#デジタル写真集 #「泡沫の宵夢」 #Set #01 recommendation: None TelegraphLinks:page-0-28
@githubtrending · Post #14649 · 04/30/2025, 01:00 PM
#typescript#csv#diagrams#graph#json#nextjs#react#tool#visualization#yaml JSON Crack is a free, open-source tool that instantly turns complex JSON, YAML, CSV, XML, or TOML data into clear, interactive graphs, making it easier to explore and understand your information. It lets you convert between formats, validate data, generate code (like TypeScript interfaces), run queries, and export visuals as images—all while keeping your data private since everything processes locally on your device[1][2][5]. https://github.com/AykutSarac/jsoncrack.com
@githubtrending · Post #14878 · 06/28/2025, 02:00 PM
#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5]. https://github.com/Serial-Studio/Serial-Studio
@githubtrending · Post #15518 · 02/24/2026, 11:30 AM
#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector