Github Top Repositories

Ir al canal en Telegram

Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

📈 Análisis del canal de Telegram Github Top Repositories

El canal Github Top Repositories (@githubre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 13 330 suscriptores, ocupando la posición 15 272 en la categoría Educación y el puesto 32 126 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 330 suscriptores.

Según los últimos datos del 15 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 413, y en las últimas 24 horas de 8, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.07%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.79% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 143 visualizaciones. En el primer día suele acumular 105 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
Intereses temáticos: El contenido se centra en temas clave como repository, fork, programming, statistic, description.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 16 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

13 330

Suscriptores

+824 horas

+927 días

+41330 días

143

Visitas de la publicación

~ 10524 horas

~ 12048 horas

1.07%

Tasa de compromiso

~ 42

Mensajes por día

Ads index

beta

Archivo de publicaciones

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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

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Repost from Data Analytics

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

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Repost from Machine Learning with Python

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Repost from Machine Learning

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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 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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🔥 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

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🔥 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

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🔥 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

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🔥 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

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🔥 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

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🔥 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:

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================================== 🧠 By: https://t.me/DataScienceN

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🔥 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:

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================================== 🧠 By: https://t.me/DataScienceN

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🔥 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:

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================================== 🧠 By: https://t.me/DataScienceN

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🔥 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