Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Computer Science and Programming
Kanalga Telegram’da o‘tish
Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:
Ko'proq ko'rsatish📈 Telegram kanali Computer Science and Programming analitikasi
Computer Science and Programming (@machinelearning_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 851 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 724-o'rinni va Hindiston mintaqasida 29 599-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 14 851 obunachiga ega bo‘ldi.
03 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -150 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 14.63% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent learning, github, engineer, quantization, detection kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
* Related Courses and Ebooks
With advertising offers contact:”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 04 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.
14 851
Obunachilar
-324 soatlar
-227 kunlar
-15030 kunlar
Postlar arxiv
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LeGrad: Layerwise Explainability GRADient method for large ViT transformer architectures
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AiOS: The Future of Human Shape & Pose Recovery
Discover AiOS, the cutting-edge, unified framework by SenseTime, HKU, IDEA, S-Lab, and Shanghai AI Lab. AiOS redefines state-of-the-art expressive pose and shape recovery, seamlessly integrating advanced features without the need for separate human detection steps.
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Project Page
Read the Paper
Repost from Machine Learning with Python
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🌟 Discover 6DRepNet: The Ultimate Head Pose Estimation Model!
Features:
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join our community:
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🌴🌴Direct-a-Video: driving Video Generation🌴🌴
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Repost from Artificial Intelligence && Deep Learning
EfficientViT - SAM:69x Faster SAM: Multi-Scale Linear Attention for High-Resolution Dense Prediction
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Repost from Computer Science and Programming
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