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 Italy88 Technologies & Applications804...

📈 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 140 441 subscribers, ranking 804 in the Technologies & Applications category and 88 in the Italy region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 140 441 subscribers.

According to the latest data from 31 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -734 over the last 30 days and by -18 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 7.96%. Within the first 24 hours after publication, content typically collects 1.94% reactions from the total number of subscribers.
Post reach: On average, each post receives 11 177 views. Within the first day, a publication typically gains 2 728 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 14.
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 01 September, 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.

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140 441

Subscribers

-1824 hours

-2617 days

-73430 days

11 177

Post views

~ 2 72824 hours

~ 3 75748 hours

7.96%

Engagement rate

No data

Posts per day

Ads index

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Posts Archive

140 427

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

140 427

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

140 427

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

140 427

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

140 427

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/

140 427

Top 40 COMPLETELY FREE Coursera Artificial Intelligence and Computer Science Courses

140 427

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

140 427

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

140 427

List of top 200 deep learning Github repositories sorted by the number of stars.

140 427

Rotated Binary Neural Network Github (Pytorch implementation): https://github.com/lmbxmu/RBNN Paper: https://arxiv.org/abs/2009.13055

140 427

Binary Neural Network (BNN) is best feet for reducing the complexity of deep neural networks. But, it suffers severe performance degradation. Rotation based training leads to around 50% weight flips which maximize the information gain and showed state-of-the-arts in benchmark datasets Rotated Binary Neural Network (RBNN)

140 427

https://github.com/brinesoftwares/Flutter-AI-Rubik-cube-Solver?fbclid=IwAR0agon7_lmFDOoBeT3ru9skWvTer3syzLFz_vHDZy9isC3FzWTJJ3JufsE

140 427

AI based Rubik's Cube Solver using Flutter and Python

140 427

https://www.nature.com/articles/s41586-020-2649-2

140 427

NumPy provides an easily readable, expressive, high-level API for array programming. It takes care of the underlying mechanics that make operations fast.

140 427

https://dafriedman97.github.io/mlbook/content/table_of_contents.html And The list of Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python Programming Resources. (Last Update: Sept 9, 2020): https://www.marktechpost.com/free-resources/?fbclid=IwAR0hc2qkxPMXhQGzsg07ffgFecRr01tSCRqlhb_XMR6PjPt1KNdy68cLy9w

140 427

Here is a new, and free book on Machine Learning from scratch. It includes the math and code examples. Solid reference.

140 427

Organize the daily influx of ML content in meaningful ways without feeling overwhelmed, By Goku Mohandas et al. : https://madewithml.com/collections/

140 427

Brian Huge, Antoine Savine : https://arxiv.org/abs/2005.02347 TF1 implementation notebook on Colab: https://colab.research.google.com/github/differential-machine-learning/notebooks/blob/master/DifferentialML.ipynb