Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

Network:Computer Science and Programming Italy87 Technologies & Applications816...

📈 Analytical overview of Telegram channel Computer Science and Programming

Channel Computer Science and Programming (@computer_science_and_programming) in the English language segment is an active participant. Currently, the community unites 142 737 subscribers, ranking 816 in the Technologies & Applications category and 87 in the Italy region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 142 737 subscribers.

According to the latest data from 14 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 292 over the last 30 days and by -44 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 6.29%. Within the first 24 hours after publication, content typically collects 1.82% reactions from the total number of subscribers.
Post reach: On average, each post receives 8 976 views. Within the first day, a publication typically gains 2 595 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 17.
Thematic interests: Content is focused on key topics such as sellerflash, github, developer, pricing, waybienad.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...”

Thanks to the high frequency of updates (latest data received on 15 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 Technologies & Applications category.

142 737

Subscribers

-4424 hours

-2007 days

-1 29230 days

8 976

Post views

~ 2 59524 hours

~ 3 64748 hours

6.29%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

142 737

Transferable Interactiveness Networks (TIN) for Human-Object Interaction (HOI) Detection

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FALDetector: Github: https://github.com/peterwang512/FALdetector Project page: https://peterwang512.github.io/FALdetector/ Installation tutorial: https://www.youtube.com/watch?v=fZSWAsjwQpE Paper: https://arxiv.org/pdf/1906.05856.pdf

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Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner, or the forehead smaller. However, it is not really accurate and consistent as it look at the individual pixels too much, as different resolution of the same person can result in different predictions with this AI model.

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Github: https://github.com/RameenAbdal/StyleFlow Paper: https://arxiv.org/pdf/2008.02401.pdf Video explaining this paper: https://www.youtube.com/watch?v=Lt4Z5oOAeEY

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Super new addition to GANs StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows

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A new video shows a crew of Boston Dynamics robots busting some impressive dance moves. IMHO: That advances of technology have also led to fears that the robots could become tools of repression or even Terminator-like killing machines. Maybe that’s why they picked this particular song by The Contours — which is definitely a bop, but also contains the plaintive lines: Do you love me Now that I can dance

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TgStat team provided channel's progress for 2020 year. We are keeping growing in every categories: new members, global ranking, the average reach of each post, views per days, citation index when compared with previous year's statistics. We will try our best to provide cutting edge of Artificial Intelligence for AI lovers. Thank you for all subscribers and Thank you for being with us.

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Project Page: https://github.com/TZYSJTU/Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale Paper: https://arxiv.org/pdf/2012.09004.pdf

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Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale

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Blog: https://medium.com/zetane-blog/free-software-platform-to-facilitate-collaboration-and-accelerate-adoption-of-ai-in-industry-c629247037b0 Project Page: https://zetane.com/gallery

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Montreal AI startup, Zetane, releases free software platform for the detailed analysis and visualization of popular deep learning models used in industry and research. By opening up black-box algorithms, diverse professionals gain new means to collaborate on applied machine Learning projects.

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NeurIPS 2020 highlights at: https://crossminds.ai/category/neurips%202020/ Also follow recent conferences and discover your inspirations and see what's happening

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NeurIPS 2020 is the largest machine learning conference and is just around the corner! Check out this exclusive collection of 100+ pre-recorded talks on the latest machine learning research from world-renowned tech companies and universities. Videos are shared by the authors with free public access

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Project page: https://video-nerf.github.io/ Paper: https://arxiv.org/pdf/2011.12950.pdf Code: coming soon

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3D photo is great, but have you ever seen 3D *free-viewpoint video*? Space-time neural rendering from a single, casually captured video! https://youtu.be/2tN8ghNu2sI

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https://laconicml.com/coursera-artificial-intelligence-courses/?fbclid=IwAR2UlS5rr5ya9f3YtxQFdyQnA69ll-m3xTN5kdQVaiUpRp5nkaIyOuq5e8g Yann LeCun’s Deep Learning Course at CDS also free now: https://cds.nyu.edu/deep-learning/

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Top 40 COMPLETELY FREE Coursera Artificial Intelligence and Computer Science Courses

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https://medium.com/the-innovation/130-machine-learning-projects-solved-and-explained-605d188fb392

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Top deep learning Github repositories https://github.com/mbadry1/Top-Deep-Learning