uz
Feedback
Github Top Repositories

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.

13 330
Obunachilar
+824 soatlar
+927 kunlar
+41330 kunlar
Postlar arxiv
🎁❗️TODAY FREE❗️🎁 Entry to our VIP channel is completely free today. Tomorrow it will cost $500! 🔥 JOIN 👇 https://t.me/+Gc
🎁❗️TODAY FREE❗️🎁 Entry to our VIP channel is completely free today. Tomorrow it will cost $500! 🔥 JOIN 👇 https://t.me/+Gc5luJUbfjRkMTk5 https://t.me/+Gc5luJUbfjRkMTk5 https://t.me/+Gc5luJUbfjRkMTk5 🔗 Subscribe to the channel: Looking for the best trading signals? Start your journey toda... | InsideAds

🔍 Searching for fast, reliable proxies for your data science and machine learning projects? Thordata provides the perfect solution for all your data scraping needs! 👍 https://www.thordata.com/?ls=DhthVzyG&lk=Data ✨ Why Choose Thordata? ✅ Rotating & Sticky Residential Proxies: Enjoy secure, uninterrupted scraping with our rotating and sticky IPs. Perfect for avoiding blocks and handling high-volume requests. 🌍 Global Coverage: Access over 195 countries with advanced targeting options to pinpoint your ideal IPs, whether by country, state, city, or ASN. ⚡️ High-Speed Performance: Get access to unlimited bandwidth and a 99.9% uptime guarantee—ideal for seamless, fast data collection. 💡 Flexible Usage: Support for SOCKS5 and HTTP(S) protocols, ensuring compatibility with all your favorite scraping tools and services. 🎯 How to Get Started: 1️⃣ Join our official Telegram community. 2️⃣ Register and contact the admin @Thordata to activate your trial. 3️⃣ Receive 100MB of FREE Residential Proxy traffic to kickstart your scraping journey. 👉 Join now: https://t.me/thordataproxy 🔧 Start experiencing Thordata’s https://www.thordata.com/?ls=DhthVzyG&lk=Data power in your data science workflows today! Whether it’s market research, machine learning, or competitive analysis—Thordata is your trusted partner in efficient, scalable data scraping.

Repost from Machine Learning
🔥 Trending Repository: free-programming-books 📝 Description: 📚 Freely available programming books 🔗 Repository URL: https://github.com/EbookFoundation/free-programming-books 🌐 Website: https://ebookfoundation.github.io/free-programming-books/ 📖 Readme: https://github.com/EbookFoundation/free-programming-books#readme 📊 Statistics: 🌟 Stars: 366K stars 👀 Watchers: 🍴 Forks: 63.9K forks 💻 Programming Languages: Python - HTML 🏷️ Related Topics:
#education #list #books #resource #hacktoberfest
================================== 🧠 By: https://t.me/DataScienceM

Repost from Data Analytics
📌 How to Create a Real-Time Gesture-to-Text Translator Using Python and Mediapipe ✍️ OMOTAYO OMOYEMI 🏷️ #Computer_Vision
📌 How to Create a Real-Time Gesture-to-Text Translator Using Python and Mediapipe ✍️ OMOTAYO OMOYEMI 🏷️ #Computer_Vision

Our services have been discontinued until you buy VPS hosting Thank you for your Thank you for your understanding. Who likes to help me buy hosting contact me @husseinsheikho

🔥 $10.000 WITH LISA! Lisa earned $200,000 in a month, and now it’s YOUR TURN! She’s made trading SO SIMPLE that anyone can d
🔥 $10.000 WITH LISA! Lisa earned $200,000 in a month, and now it’s YOUR TURN! She’s made trading SO SIMPLE that anyone can do it. ❗️Just copy her signals every day ❗️Follow her trades step by step ❗️Earn $1,000+ in your first week – GUARANTEED! 🚨 BONUS: Lisa is giving away $10,000 to her subscribers! Don’t miss this once-in-a-lifetime opportunity. Free access for the first 500 people only! 👉 CLICK HERE TO JOIN NOW 👈

Repost from Machine Learning
✨ Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning ✨ 📖 In this tutorial, you will learn how to a
✨ Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning ✨ 📖 In this tutorial, you will learn how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning. Like most people in the world right now, I’m genuinely concerned about COVID-19. I find myself constantly…... 🏷️ #DeepLearning #KerasandTensorFlow #MedicalComputerVision #Tutorials

Get top-tier market analysis: world events meet technical trading. I'm Michael 👋. My team and I share our market insights da
Get top-tier market analysis: world events meet technical trading. I'm Michael 👋. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains. We will tell you everything on the channel, even for beginners. Join the channel below! 👇 https://t.me/+9mZure1faNRkOTE8

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
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_rRW2scgfRhOTc0https://t.me/Codeprogrammer

🔥 Trending Repository: learning-oop-in-php 📝 Description: A collection of resources to learn object-oriented programming and related concepts for PHP developers. 🔗 Repository URL: https://github.com/marcelgsantos/learning-oop-in-php 📖 Readme: https://github.com/marcelgsantos/learning-oop-in-php#readme 📊 Statistics: 🌟 Stars: 2.5K stars 👀 Watchers: 249 🍴 Forks: 426 forks 💻 Programming Languages: Not available 🏷️ Related Topics:
#refactoring #php #oop #design_patterns #awesome_list #ood
================================== 🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: awesome-adversarial-machine-learning 📝 Description: A curated list of awesome adversarial machine learning resources 🔗 Repository URL: https://github.com/yenchenlin/awesome-adversarial-machine-learning 📖 Readme: https://github.com/yenchenlin/awesome-adversarial-machine-learning#readme 📊 Statistics: 🌟 Stars: 1.9K stars 👀 Watchers: 124 🍴 Forks: 285 forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: FreeML 📝 Description: A List of Data Science/Machine Learning Resources (Mostly Free) 🔗 Repository URL: https://github.com/Shujian2015/FreeML 📖 Readme: https://github.com/Shujian2015/FreeML#readme 📊 Statistics: 🌟 Stars: 1.1K stars 👀 Watchers: 118 🍴 Forks: 517 forks 💻 Programming Languages: Not available 🏷️ Related Topics:
#data_science #machine_learning #natural_language_processing #deep_learning
================================== 🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: FSL-Mate 📝 Description: FSL-Mate: A collection of resources for few-shot learning (FSL). 🔗 Reposito
🔥 Trending Repository: FSL-Mate 📝 Description: FSL-Mate: A collection of resources for few-shot learning (FSL). 🔗 Repository URL: https://github.com/tata1661/FSL-Mate 📖 Readme: https://github.com/tata1661/FSL-Mate#readme 📊 Statistics: 🌟 Stars: 1.7K stars 👀 Watchers: 41 🍴 Forks: 294 forks 💻 Programming Languages: Python - Shell 🏷️ Related Topics:
#deep_learning #paper #papers #one_shot_learning #paddlepaddle #meta_learning #few_shot #few_shot_learning #low_shot #few_shot_paper #few_shot_papers
================================== 🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: awesome-exploit-development 📝 Description: A curated list of resources (books, tutorials, courses, tools and vulnerable applications) for learning about Exploit Development 🔗 Repository URL: https://github.com/FabioBaroni/awesome-exploit-development 📖 Readme: https://github.com/FabioBaroni/awesome-exploit-development#readme 📊 Statistics: 🌟 Stars: 2K stars 👀 Watchers: 106 🍴 Forks: 336 forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: awesome-video 📝 Description: A curated list of awesome streaming video tools, frameworks, libraries, and learning resources. 🔗 Repository URL: https://github.com/krzemienski/awesome-video 🌐 Website: https://awesome.video 📖 Readme: https://github.com/krzemienski/awesome-video#readme 📊 Statistics: 🌟 Stars: 1.7K stars 👀 Watchers: 55 🍴 Forks: 180 forks 💻 Programming Languages: HTML 🏷️ Related Topics:
#audio #encoding #player #streaming #awesome #video #ffmpeg #mp4 #hls #captions #mpeg_dash #dash #awesome_list #drm #roku #hevc #video_streaming #ott #vmaf #digital_video
================================== 🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: professional-programming 📝 Description: A collection of learning resources for curious software engi
🔥 Trending Repository: professional-programming 📝 Description: A collection of learning resources for curious software engineers 🔗 Repository URL: https://github.com/charlax/professional-programming 📖 Readme: https://github.com/charlax/professional-programming#readme 📊 Statistics: 🌟 Stars: 47.9K stars 👀 Watchers: 970 🍴 Forks: 3.8K forks 💻 Programming Languages: Python - HTML 🏷️ Related Topics:
#programming_language #learning #computer_science #documentation #architecture #concepts #scalability #professional #programmer #software_engineering #engineer #read_articles #lessons_learned
================================== 🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: awesome-learn-gamedev 📝 Description: A curated collection of game development learning resources 🔗
🔥 Trending Repository: awesome-learn-gamedev 📝 Description: A curated collection of game development learning resources 🔗 Repository URL: https://github.com/dawdle-deer/awesome-learn-gamedev 📖 Readme: https://github.com/dawdle-deer/awesome-learn-gamedev#readme 📊 Statistics: 🌟 Stars: 3K stars 👀 Watchers: 56 🍴 Forks: 99 forks 💻 Programming Languages: Not available 🏷️ Related Topics:
#learning #education #gamedev #list #awesome #game_development #learn #awesome_list
================================== 🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: awesome-semi-supervised-learning 📝 Description: 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources. 🔗 Repository URL: https://github.com/yassouali/awesome-semi-supervised-learning 📖 Readme: https://github.com/yassouali/awesome-semi-supervised-learning#readme 📊 Statistics: 🌟 Stars: 1.8K stars 👀 Watchers: 61 🍴 Forks: 229 forks 💻 Programming Languages: Not available 🏷️ Related Topics:
#machine_learning #natural_language_processing #computer_vision #deep_learning #generative_model #semi_supervised_learning #graph_neural_networks
================================== 🧠 By: https://t.me/DataScienceN