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

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📈 Telegram kanali Computer Science and Programming analitikasi

Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 142 737 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 816-o'rinni va Italiya mintaqasida 87-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 142 737 obunachiga ega bo‘ldi.

14 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 292 ga, so‘nggi 24 soatda esa -44 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 6.29% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.82% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 8 976 marta ko‘riladi; birinchi sutkada odatda 2 595 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 17 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent sellerflash, github, developer, pricing, waybienad kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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...”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 15 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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Obunachilar

-4424 soatlar

-2007 kunlar

-1 29230 kunlar

8 976

Post ko'rishlar

~ 2 59524 soatlar

~ 3 64748 soatlar

6.29%

Muloqot nisbati

~ 1

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Postlar arxiv

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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