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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 13 354 suscriptores, ocupando la posición 15 230 en la categoría Educación y el puesto 31 848 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 354 suscriptores.
Según los últimos datos del 18 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 431, y en las últimas 24 horas de 13, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.06%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.78% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 142 visualizaciones. En el primer día suele acumular 104 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 19 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.
13 354
Suscriptores
+1324 horas
+757 días
+43130 días
Archivo de publicaciones
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😍😍😍😍😍😍😍😍
It’s truly fascinating — definitely worth diving deeper into and working on!
😍😍😍😍😍😍😍😍
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🔖 ImageBind: One Embedding Space To Bind Them All
📝 This project is a significant step forward in understanding and connecting information from diverse sources like images, text, audio, video, and even motion sensor data.
⚙️ Supports 6 Modalities:
📷 Image
📝 Text
🔈 Audi
🎥 Video
🦴 IMU sensor data (e.g., accelerometer)
🙄 Depth/Thermal & 3D data
Interestingly, only some modalities had labels, yet ImageBind learned to align them through self-supervised learning.
💫 Key Features:
..No need for paired data (e.g., images and audio don’t have to be aligned)..Leverages contrastive learning for learning joint embedding space
..Competes with CLIP and AudioCLIP, but with better accuracy and coverage..Enables zero-shot retrieval (e.g., finding relevant video using just a sentence)
📌 Repo: https://github.com/facebookresearch/ImageBind
🔍 By: https://t.me/DataScienceN 🌟
#ImageBind #MultimodalAI #MetaAI #DeepLearning #SelfSupervised
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The latest and the most up-to-date cyber news will be presented on PPHM HACKER NEWS.
PPHM subscribers are the first people that receive firsthand cybernews and Tech news.
You won't miss any cyber news with us.
https://t.me/pphm_HackerNews
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🔖 Project name : Analysis of Covid-19 chest x-rays
📝 In order to diagnose patients with Covid-19, the analysis of chest X-rays is a possibility to be explored to more easily detect positive cases. If the classification through deep learning of such data proves effective in detecting positive cases, then this method can be used in hospitals and clinics when traditional testing cannot be done.
📌 Repo:
https://github.com/rehabaam/ds_covid19_project
🔍 By: https://t.me/DataScienceN 🌟
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📌 Project name: Cat/Dog/Fox Lightning 2024
By: https://t.me/DataScienceN 🌟13 355
📌 Project name: Cat/Dog/Fox Lightning 2024
📝 Language: #Python
🔗 Dataset Link: https://www.kaggle.com/datasets/snmahsa/animal-image-dataset-cats-dogs-and-foxes
🖋 Download the dataset offline:
https://t.me/datasets1/668
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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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https://t.me/donot/game?startapp=418788114
The bot is quite similar to the Dogs bot and Paws
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Repost from AI & ML Papers
Coursera has launched a collaboration with the Stars platform to enable students to self-fund using the Stars platform.
Students can now access free Coursera scholarships through Stars.
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Pandas Cookbook (2025)
Link Download: https://best-links.org/s?468c1ea5
How to Download Books (Read it, important)
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We will only send books with very high rating here.
Sending books directly here would be risky so we will encrypt the book download mechanism using the (content lock) mechanism.
The first and most important step is that you must open the link using Chrome or any other browser other than the default Telegram browser to ensure that the content is successfully unlocked.
In the pictures attached to the post, there is a way to unlock the content and download the book successfully. The mechanism may seem vague to you at first, but with time and repetition, you will adapt to this mechanism.
We do this and give things away for free only to people who deserve it.
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The gifts become 80$ , first 100k person
https://t.me/TronKeeperBot/app?startapp=418788114
Terms of creating an account: Subscribe to their channel only.
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Access all our resources in our Premium channel.
The Premium channel includes:
• Over 10,000 books (on Artificial Intelligence, Python, programming languages, web development, LLM, and all other fields of data science, including data analysis)
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Repost from Data Science Books
Coursera has launched a collaboration with the PAWS platform to enable students to self-fund using the Paws platform.
Students can now access free Coursera scholarships through PAWS.
Don't miss the opportunity: Click here.
