Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Github Top Repositories
Kanalga Telegram’da o‘tish
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Ko'proq ko'rsatish📈 Telegram kanali Github Top Repositories analitikasi
Github Top Repositories (@githubre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 330 obunachidan iborat bo'lib, Taʼlim toifasida 15 272-o'rinni va Hindiston mintaqasida 32 126-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 13 330 obunachiga ega bo‘ldi.
15 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 413 ga, so‘nggi 24 soatda esa 8 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 1.07% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.79% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 143 marta ko‘riladi; birinchi sutkada odatda 105 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 repository, fork, programming, statistic, description kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 16 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
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Obunachilar
+824 soatlar
+927 kunlar
+41330 kunlar
Postlar arxiv
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Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
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1️⃣ Data Science
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4️⃣In this repository… you don’t just understand — you experience it😱.
🔗Machine-Learning-Projects by Aswin S isn’t just a collection of code👨💻.
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Imagine an AI assistant for data scientists that builds an entire Jupyter notebook on request
Data Copilot - is like Cursor, but it is designed for working with data📊
Imports Dataset, cleans it, teaches models, tests it - all in one pass✅.
And yes, he is completely open-source 🤝.
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Some projects don’t scream for attention — they quietly change the way we learn🧑🎓.
Python Data Science Handbook is one of them📖.
🧑🎓 What is it?
A powerful open-source GitHub repository by Jake VanderPlas. It turns his bestselling book into interactive Jupyter notebooks that teach: 🧮 NumPy → fast array operations 📊 Pandas → data cleaning & analysis 📈 Matplotlib → clear visualizations 🤖 Scikit-learn → machine learning made simple 🛸 IPython → efficient coding environment🎚️Run everything instantly via Binder or Google Colab — no setup needed⚙.
Don’t chase complexity... Start with clarity.🖥 GitHub .
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Repost from Machine Learning with Python
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Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
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🚀 Master Python with Ease!
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💃 GENMO: Generalist Human Motion by NVIDIA 💃
NVIDIA introduces GENMO, a unified generalist model for human motion that seamlessly combines motion estimation and generation within a single framework. GENMO supports conditioning on videos, 2D keypoints, text, music, and 3D keyframes, enabling highly versatile motion understanding and synthesis.
Currently, no official code release is available.
Review:
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Paper:
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Project Page:
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Repost from Machine Learning with Python
🎯 ابدأ رحلتك الاحترافية في البرمجة مع
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هل ترغب بتعلم لغة البرمجة الأكثر طلبًا في العالم؟
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🔥Powerful Combo: Ultralytics YOLO11 + Sony Semicon | AITRIOS (Global) Platform + Raspberry Pi
We’ve recently updated our Sony IMX model export to fully support YOLO11n detection models! This means you can now seamlessly run YOLO11n models directly on Raspberry Pi AI Cameras powered by the Sony IMX500 sensor — making it even easier to develop advanced Edge AI applications. 💡
To test this new export workflow, I trained a model on the VisDrone dataset and exported it using the following command:
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yolo export model=<path_to_drone_model> format=imx data=VisDrone.yaml
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Sure! Here's the English version of your post, translated naturally and professionally:
---
🔥 Powerful Combo: Ultralytics YOLO11 + Sony Semicon | AITRIOS (Global) Platform + Raspberry Pi
We’ve recently updated our Sony IMX model export to fully support YOLO11n detection models! This means you can now seamlessly run YOLO11n models directly on Raspberry Pi AI Cameras powered by the Sony IMX500 sensor — making it even easier to develop advanced Edge AI applications. 💡
To test this new export workflow, I trained a model on the VisDrone dataset and exported it using the following command:
👉
yolo export model=<path_to_drone_model> format=imx data=VisDrone.yaml13 330
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
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Follow me on LinkedIn for more projects and jobs
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Repost from Machine Learning with Python
🎁 Your balance is credited $4,000 , the owner of the channel wants to contact you!
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Repost from Python Courses & Resources
🎁 Your balance is credited $4,000 , the owner of the channel wants to contact you!
Dear subscriber, we would like to thank you very much for supporting our channel, and as a token of our gratitude we would like to provide you with free access to Lisa's investor channel, with the help of which you can earn today
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