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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الشبكة:Computer Science and Programming إيطاليا88 التكنولوجيات والتطبيقات811...

📈 نظرة تحليلية على قناة تيليجرام Computer Science and Programming

تُعد قناة Computer Science and Programming (@computer_science_and_programming) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 140 431 مشتركاً، محتلاً المرتبة 811 في فئة التكنولوجيات والتطبيقات والمرتبة 88 في منطقة إيطاليا.

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منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 140 431 مشتركاً.

بحسب آخر البيانات بتاريخ 01 سبتمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -772، وفي آخر 24 ساعة بمقدار -64، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 8.15‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.97‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 11 442 مشاهدة. وخلال اليوم الأول يجمع عادةً 2 771 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 13.
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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_sc...”

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140 412

https://ai.facebook.com/blog/-introducing-pytorch3d-an-open-source-library-for-3d-deep-learning/

140 412

Introducing PyTorch3D: An open-source library for 3D deep learning. PyTorch3D: Faster, flexible 3D deep learning research

140 412

https://towardsdatascience.com/end-to-end-machine-learning-from-data-collection-to-deployment-ce74f51ca203 If you want to play with the app and see how it looks like: 💻Demo: https://www.reviews.ai2prod.com/ Code: https://github.com/MarwanDebbiche/post-tuto-deployment

140 412

End to End Machine Learning: From Data Collection to Deployment. - Collect and scrape data with Scrapy / Selenium - Train a deep character CNN for (English) sentiment analysis using PyTorch - Build an interactive web app with Dash to serve the model in real-time - Put everything in Docker Compose - Deploy to AWS on a custom domain name

140 412

More than 200 NLP datasets - this is gold (last update 21.01.202) https://quantumstat.com/dataset/dataset.html and also Google provided dataset search tool for publicly available datasets: https://datasetsearch.research.google.com/

140 412

Paper: https://arxiv.org/pdf/2001.05613.pdf Project page: http://www.ynl.t.u-tokyo.ac.jp/research/vmocap-syn/ Dataset will be available publicly soon

140 412

Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild

140 412

Paper pdf: https://arxiv.org/pdf/2001.05201.pdf Github: https://wywu.github.io/projects/EBT/EBT.html Youtube: https://youtu.be/tNPuAnvijQk

140 412

Everybody’s Talkin’: Let Me Talk as You Want This paper presents a method to edit a target portrait footage by taking a sequence of audio as input to synthesize a photo-realistic video.

140 412

Paper link: https://arxiv.org/pdf/1904.02689.pdf Github repo: https://github.com/dbolya/yolact

140 412

YOLACT (You Only Look At CoefficienTs) - Real-time Instance Segmentation Results are impressive, above 30 FPS on COCO test-dev

140 412

However, great resource from data-flair team and there are waiting you 240+ Python Tutorials from scratch (under advanced, intermediate, beginner categories): https://data-flair.training/blogs/python-tutorials-home/ and you'll also follow their telegram channels for fresh news from original source: https://t.me/dataflair

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These Projects will make you the Super Hero of Python: https://medium.com/dataflair/these-projects-will-make-you-the-superhero-of-python-city-14101e62393b

140 412

Happy new year. I would like to share channel's progress for 2019 and we have +29 874 new members for this year. Thank you for all members of channel.

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Due to your interest and some specific points, you will read about in more detail from the report: https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf?fbclid=IwAR228NxD7QCdksNYkSPZ2vcpm5Jzk5zCGx9v0NpsAkQVOspv85MvG3LK3wE

140 412

2019 is also finishing with great achievements in AI field. Thanks to the extended report from 'artificial intelligence index' which I highlighted more specific ones (Of cource is just my choise only): 👉 AI Research went crazy. Between 1998 and 2018, there’s been a 300% increase in the publication of peer-reviewed papers on AI. 👉 Attendance at conferences went crazy too, for eg. NeurIPS, got some 13,500 attendees this year, up 800% from 2012. 👉 Education too bumped up, a lot of folks took up MSc / PhD with something in Machine Learning 👉 USA still leads in AI, no matter what other countries say 👉 AI algorithms are becoming cheaper and mainstream 👉 self driving vehicles market is coming of age and raking in a lot of investments

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Here is the pre-reading material is mentioned from organizers: http://montreal.ai/aidebate.pdf And you can also submit your questions by following link: https://montrealartificialintelligence.com/aidebate/?fbclid=IwAR0apri8P3UENmgGhRxeg5k022wh25ynFj7fnJ0OOEd7Kw_vh_6XRfkZA-s Live streaming: https://www.eventbrite.ca/e/debate-yoshua-bengio-gary-marcus-live-streaming-tickets-81620778947?fbclid=IwAR2MG35fVKQvxSXQc4DYXn-q9bVEwmfrqfT98m9IuF1gCgEHGRCx0k0ftmc

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I think, every AI lovers are waiting for AI debate: Yoshua Bengio and Gary Marcus, which a decade that has revived the field of AI