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GitHub repos

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Welcome to GitHub repos. Here you'll find valuable information on the latest trending projects. Subscribe to stay informed and gain insights from the thriving GitHub community.

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📈 Telegram kanali GitHub repos analitikasi

GitHub repos (@github_repos) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 28 052 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 731-o'rinni va Hindiston mintaqasida 14 088-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 28 052 obunachiga ega bo‘ldi.

05 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 502 ga, so‘nggi 24 soatda esa 38 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 5.37% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.65% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 506 marta ko‘riladi; birinchi sutkada odatda 742 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent fork, typescript, claude, arbitrage, cli kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Welcome to GitHub repos. Here you'll find valuable information on the latest trending projects. Subscribe to stay informed and gain insights from the thriving GitHub community.”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 06 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

28 052
Obunachilar
+3824 soatlar
+1347 kun
+50230 kun
Postlar arxiv
zhaorw02/DeepMesh Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning Language: Python #3d #aigc #dpo #generative_model #llm #mesh #mesh_generation #point_cloud Stars: 254 Issues: 3 Forks: 8 https://github.com/zhaorw02/DeepMesh

sail-sg/understand-r1-zero Understanding R1-Zero-Like Training: A Critical Perspective Language: Python #llm #r1_zero #reasoning #rl Stars: 269 Issues: 2 Forks: 16 https://github.com/sail-sg/understand-r1-zero

Zouuup/landrun Run any Linux process in a secure, unprivileged sandbox using Landlock LSM. Think firejail, but lightweight, user-friendly, and baked into the kernel. Language: Go Stars: 459 Issues: 1 Forks: 5 https://github.com/Zouuup/landrun

timqian/bambot Low cost (~$300) humanoid robot 🌱 Language: TypeScript Stars: 257 Issues: 1 Forks: 20 https://github.com/timqian/bambot

nv-tlabs/3dgrut Language: Cuda Stars: 271 Issues: 5 Forks: 14 https://github.com/nv-tlabs/3dgrut

jae-jae/fetcher-mcp MCP server for fetch web page content using Playwright headless browser. Language: TypeScript #ai #mcp #playwright Stars: 278 Issues: 3 Forks: 17 https://github.com/jae-jae/fetcher-mcp

roboflow/rf-detr RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license. Language: Python #computer_vision #detr #machine_learning #object_detection #rf_detr Stars: 292 Issues: 3 Forks: 19 https://github.com/roboflow/rf-detr

ahujasid/ableton-mcp Language: Python Stars: 275 Issues: 2 Forks: 29 https://github.com/ahujasid/ableton-mcp

KalyanKS-NLP/rag-zero-to-hero-guide Comprehensive guide to learn RAG from basics to advanced. Language: Jupyter Notebook #ai_engineer #generative_ai #large_language_models #llm_engineer #llm_rag #llms #retrieval_augmented_generation Stars: 344 Issues: 0 Forks: 89 https://github.com/KalyanKS-NLP/rag-zero-to-hero-guide

TecharoHQ/anubis Weighs the soul of incoming HTTP requests using proof-of-work to stop AI crawlers Language: Go #defense #security Stars: 587 Issues: 26 Forks: 10 https://github.com/TecharoHQ/anubis

manycore-research/SpatialLM SpatialLM: Large Language Model for Spatial Understanding Language: Python #mllm #point_clouds #scene_understanding #spatial_intelligence Stars: 643 Issues: 2 Forks: 33 https://github.com/manycore-research/SpatialLM

mindverse/Second-Me Train your AI self, amplify you, bridge the world Language: Python Stars: 265 Issues: 3 Forks: 18 https://github.com/mindverse/Second-Me

jnsahaj/tweakcn A visual no-code editor for shadcn/ui components Language: TypeScript Stars: 277 Issues: 2 Forks: 13 https://github.com/jnsahaj/tweakcn

aigc3d/LHM LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in Seconds Language: Python #aicg #aigc #digitalhuman Stars: 314 Issues: 4 Forks: 12 https://github.com/aigc3d/LHM

justinpbarnett/unity-mcp A Unity MCP server that allow communication with clients like Claude Desktop Language: C# Stars: 513 Issues: 5 Forks: 65 https://github.com/justinpbarnett/unity-mcp

langmanus/langmanus-web The web UI for LangManus. Language: TypeScript Stars: 269 Issues: 4 Forks: 24 https://github.com/langmanus/langmanus-web

Aeastr/RenderMeThis RenderMeThis is a simple SwiftUI debugging tool that reveals exactly when your views re‑render. No more guesswork – each refresh is accompanied by a subtle flash, helping you track down unnecessary updates and keep your app running smoothly. Language: Swift Stars: 287 Issues: 0 Forks: 5 https://github.com/Aeastr/RenderMeThis

SkyworkAI/Skywork-R1V Pioneering Multimodal Reasoning with CoT Language: Python #deepseek_r1 #llm #mllm Stars: 387 Issues: 5 Forks: 19 https://github.com/SkyworkAI/Skywork-R1V

DigitallyTailored/Classless.css A lightweight, classless CSS framework that makes simple websites look better without requiring any additional markup. Language: CSS Stars: 390 Issues: 2 Forks: 13 https://github.com/DigitallyTailored/Classless.css