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Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Mostrar más📈 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.
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Suscriptores
+824 horas
+927 días
+41330 días
Archivo de publicaciones
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Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
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Imagine an AI assistant for data scientists that builds an entire Jupyter notebook on request
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Some projects don’t scream for attention — they quietly change the way we learn🧑🎓.
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Repost from Machine Learning with Python
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Repost from Machine Learning with Python
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💃 GENMO: Generalist Human Motion by NVIDIA 💃
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Repost from Machine Learning with Python
🎯 ابدأ رحلتك الاحترافية في البرمجة مع
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Sure! Here's the English version of your post, translated naturally and professionally:
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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.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
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✅ https://t.me/addlist/8_rRW2scgfRhOTc0
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Repost from Machine Learning with Python
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Repost from Python Courses & Resources
🎁 Your balance is credited $4,000 , the owner of the channel wants to contact you!
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