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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.

Ko'proq ko'rsatish

📈 Telegram kanali GitHub repos analitikasi

GitHub repos (@github_repos) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 28 064 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 730-o'rinni va Hindiston mintaqasida 14 072-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 28 064 obunachiga ega bo‘ldi.

06 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 516 ga, so‘nggi 24 soatda esa 29 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 5.35% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.64% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 502 marta ko‘riladi; birinchi sutkada odatda 740 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 07 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.

28 064
Obunachilar
+2924 soatlar
+1487 kun
+51630 kun
Postlar arxiv
rmurai0610/MASt3R-SLAM MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors Language: Python Stars: 535 Issues: 11 Forks: 35 https://github.com/rmurai0610/MASt3R-SLAM

deepseek-ai/DualPipe A bidirectional pipeline parallelism algorithm for computation-communication overlap in V3/R1 training. Language: Python Stars: 1339 Issues: 4 Forks: 73 https://github.com/deepseek-ai/DualPipe

NVlabs/svraster Language: Jupyter Notebook Stars: 216 Issues: 3 Forks: 5 https://github.com/NVlabs/svraster

negativa-ai/BLAFS A Bloat Aware Filesystem for Container Debloating. Language: Go #container #docker Stars: 241 Issues: 0 Forks: 5 https://github.com/negativa-ai/BLAFS

kijai/ComfyUI-WanVideoWrapper Language: Python Stars: 316 Issues: 18 Forks: 10 https://github.com/kijai/ComfyUI-WanVideoWrapper

Wan-Video/Wan2.1 Wan: Open and Advanced Large-Scale Video Generative Models Language: Python Stars: 1968 Issues: 39 Forks: 126 https://github.com/Wan-Video/Wan2.1

Filsommer/rosencharts Language: TypeScript Stars: 357 Issues: 1 Forks: 4 https://github.com/Filsommer/rosencharts

sullyo/webapp-starter A monorepo template for building webapps - perfect for LLMs Language: TypeScript Stars: 527 Issues: 0 Forks: 88 https://github.com/sullyo/webapp-starter

PennyroyalTea/gibberlink Two conversational AI agents switching from English to sound-level protocol after confirming they are both AI agents Language: TypeScript Stars: 974 Issues: 3 Forks: 54 https://github.com/PennyroyalTea/gibberlink

anthropics/claude-code Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands. Language: Shell Stars: 1097 Issues: 46 Forks: 51 https://github.com/anthropics/claude-code

Edu4rdSHL/fly-to-podman Migrate from Docker to Podman. Language: Shell Stars: 259 Issues: 0 Forks: 3 https://github.com/Edu4rdSHL/fly-to-podman

facebookresearch/MLGym MLGym A New Framework and Benchmark for Advancing AI Research Agents Language: Python Stars: 285 Issues: 2 Forks: 20 https://github.com/facebookresearch/MLGym

hiyouga/EasyR1 EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL Language: Python Stars: 376 Issues: 5 Forks: 10 https://github.com/hiyouga/EasyR1

deepseek-ai/FlashMLA Language: C++ Stars: 5227 Issues: 23 Forks: 218 https://github.com/deepseek-ai/FlashMLA

Hurley-AI/Hurley-AI The next-gen framework powering intelligent agent development through Retrieval-Augmented Generation. Language: Python Stars: 243 Issues: 0 Forks: 67 https://github.com/Hurley-AI/Hurley-AI

fla-org/native-sparse-attention 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" Language: Python Stars: 301 Issues: 0 Forks: 15 https://github.com/fla-org/native-sparse-attention

Arcanum-Sec/msftrecon Language: Python Stars: 344 Issues: 1 Forks: 46 https://github.com/Arcanum-Sec/msftrecon

therealoliver/Deepdive-llama3-from-scratch Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code. Language: Jupyter Notebook #attention #attention_mechanism #gpt #inference #kv_cache #language_model #llama #llm_configuration #llms #mask #multi_head_attention #positional_encoding #residuals #rms #rms_norm #rope #rotary_position_encoding #swiglu #tokenizer #transformer Stars: 388 Issues: 0 Forks: 28 https://github.com/therealoliver/Deepdive-llama3-from-scratch

dotnetfactory/fluid-calendar Language: TypeScript Stars: 248 Issues: 6 Forks: 9 https://github.com/dotnetfactory/fluid-calendar

Dhravya/apple-mcp Collection of apple-native tools for the model context protocol. Language: TypeScript Stars: 259 Issues: 0 Forks: 10 https://github.com/Dhravya/apple-mcp