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Computer Science and Programming

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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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.

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  • 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.
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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...

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.

142 737
Obunachilar
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-2007 kunlar
-1 29230 kunlar
Postlar arxiv
Now t-SNE with RAPIDs cuML 2000x speed-up over scikit-learn. But is very slightly accurate (at most ~3% error). Here is also
Now t-SNE with RAPIDs cuML 2000x speed-up over scikit-learn. But is very slightly accurate (at most ~3% error). Here is also detailed explanation about t-SNE, wich nonlinear dimensionality reduction algorithm.

NVIDIA released a PyTorch library ‘Kaolin’, which in few steps, moves 3D models into neural networks.
NVIDIA released a PyTorch library ‘Kaolin’, which in few steps, moves 3D models into neural networks.

Here is the paper link: https://arxiv.org/pdf/1806.04558.pdf And unofficial implementation of this paper: https://github.com/CorentinJ/Real-Time-Voice-Cloning

South Korea has created an entire city for testing self-driving cars with 35 kinds of road test facilities. Here is the video from BuzzFeed news

Last week one of the important conference in computer vision fields ICCV19 held on Seoul and finished. Here is the voting results about bests. ICCV 2019 Best Papers: * Best Paper Award (Marr Prize): SinGAN: Learning a Generative Model from a Single Natural Image * Best Student Paper Award: PLMP — Point-Line Minimal Problems in Complete Multi-View Visibility * Best Paper Honorable Mentions Paper: Asynchronous Single-Photon 3D Imaging

This is the last ICCV Daily magazine for this year. Friday, November 1, 2019

Enjoy reading and have a great day. Computer Vision newsletter for Thursday, October 31, 2019

Great day of technology and friendships awaits for us at ICCV 2019 and on the ICCV Daily magazine during the conference in Seoul. Here is the Wednesday Daily news from Computer Vision news

ICCV 2019 Daily magazine for Tuesday from Computer Vision news group:

Here is the paper's list you will enjoy by exploring new cutting-edge research topics: http://openaccess.thecvf.com/ICCV2019.
Here is the paper's list you will enjoy by exploring new cutting-edge research topics: http://openaccess.thecvf.com/ICCV2019.py

Good day dear all AI lovers. From today one of the most popular conferences in the world ICCV19 is starting at Seoul
Good day dear all AI lovers. From today one of the most popular conferences in the world ICCV19 is starting at Seoul