Github Top Repositories
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Show more📈 Analytical overview of Telegram channel Github Top Repositories
Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 13 330 subscribers, ranking 15 272 in the Education category and 32 126 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 330 subscribers.
According to the latest data from 15 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 413 over the last 30 days and by 8 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 1.07%. Within the first 24 hours after publication, content typically collects 0.79% reactions from the total number of subscribers.
- Post reach: On average, each post receives 143 views. Within the first day, a publication typically gains 105 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Thanks to the high frequency of updates (latest data received on 16 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
A curated set of practical projects that turn theory into action: 🖼Predictive modeling for Black Friday and BigMart sales 🕯Time series forecasting for airline passenger trends 🧬Breast cancer detection from medical datasets. 💳Credit card fraud detection. 🏠Boston housing price prediction. 😳Face recognition using OpenCV. Each project is built with clarity and purpose👨💻. You can run everything directly in Google Colab — no setup required⚙. 🖥 GitHub
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✈️ Our Telegram channels⬅️ 📱 Our WhatsApp channel⬅️
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 .
✈️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk 📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk 📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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yolo export model=<path_to_drone_model> format=imx data=VisDrone.yaml
🎥 The video below shows the result of this process!
🔍Benchmark results for YOLO11n on IMX500:✅ Inference Time: 62.50 ms✅ mAP50-95 (B): 0.644📌 Want to learn more about YOLO11 and Sony IMX500? Check it out here ➡️
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🌟https://t.me/DataScienceNyolo export model=<path_to_drone_model> format=imx data=VisDrone.yaml
🎥 The video below shows the result of this process!
🔍 Benchmark results for YOLO11n on IMX500:
✅ Inference Time: 62.50 ms
✅ mAP50-95 (B): 0.644
📌 Want to learn more about YOLO11 and Sony IMX500? Check it out here ➡️ https://lnkd.in/gZh5JhxH
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