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Ko'proq ko'rsatish

Hindiston15 921 Texnologiyalar & Aralashmalar5 102...

📈 Telegram kanali GitHub repos analitikasi

GitHub repos (@github_repos) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 26 505 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 5 102-o'rinni va Hindiston mintaqasida 15 921-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 26 505 obunachiga ega bo‘ldi.

25 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 209 ga, so‘nggi 24 soatda esa 3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 4.61% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.22% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 222 marta ko‘riladi; birinchi sutkada odatda 589 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 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 26 Iyun, 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.

26 505

Obunachilar

+324 soatlar

+487 kunlar

+20930 kunlar

1 222

Post ko'rishlar

~ 58924 soatlar

~ 73048 soatlar

4.61%

Muloqot nisbati

~ 4

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mihirp1998/AlignProp AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion Language: Python #alignment #diffusion_models #reinforcement_learning #stable_diffusion #text_to_image Stars: 104 Issues: 4 Forks: 1 https://github.com/mihirp1998/AlignProp

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juntoku9/edupal Language: Dart Stars: 107 Issues: 0 Forks: 2 https://github.com/juntoku9/edupal

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Geass-to/go-ethereum Official Go implementation of the Ethereum protocol #blockchain #blockchain_service #download_ethereum_full_node #download_ethereum_node #eth #eth_public_node #ethereum_full_node #ethereum_node #ethereum_node_install #etherium #etherium_dapp #geth #geth_github #geth_node #go #node #p2p #p2p_node Stars: 1115 Issues: 0 Forks: 0 https://github.com/Geass-to/go-ethereum

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RickdeJager/CVE-2023-4911 CVE-2023-4911 proof of concept Language: C Stars: 126 Issues: 2 Forks: 21 https://github.com/RickdeJager/CVE-2023-4911

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wesg52/world-models Extracting spatial and temporal world models from LLMs Language: Jupyter Notebook Stars: 142 Issues: 0 Forks: 16 https://github.com/wesg52/world-models

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icyguider/LatLoader PoC module to demonstrate automated lateral movement with the Havoc C2 framework. Language: C++ Stars: 157 Issues: 0 Forks: 17 https://github.com/icyguider/LatLoader

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eric-ai-lab/MiniGPT-5 Official implementation of paper "MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens" Language: Python Stars: 160 Issues: 1 Forks: 9 https://github.com/eric-ai-lab/MiniGPT-5