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Artificial Intelligence && Deep Learning

Artificial Intelligence && Deep Learning

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers With advertising offers contact:

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๐Ÿ“ˆ Analytical overview of Telegram channel Artificial Intelligence && Deep Learning

Channel Artificial Intelligence && Deep Learning (@deeplearning_ai) in the English language segment is an active participant. Currently, the community unites 58 024 subscribers, ranking 2 297 in the Technologies & Applications category and 6 023 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 58 024 subscribers.

According to the latest data from 23 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -218 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.90%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 5 163 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 15.
  • Thematic interests: Content is focused on key topics such as github, learning, estimation, dataset, engineer.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œChannel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers With advertising offers contact:โ€

Thanks to the high frequency of updates (latest data received on 24 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.

58 024
Subscribers
-1024 hours
-557 days
-21830 days
Posts Archive
This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualiza
This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualization 4- Artificial Intelligence 5- Data Analysis 6- Statistics 7- Deep Learning 8- programming Languages โœ… best channels on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 โœ… Data Science Books: https://t.me/DataScienceM

StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation paper: https://arxiv.org/pdf/2312.12491v1.pdf source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file

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Generative Models by Stability AI source code: https://github.com/stability-ai/generative-models paper: https://static1.squarespace.com/static/6213c340453c3f502425776e/t/655ce779b9d47d342a93c890/1700587395994/stable_video_diffusion.pdf provided a streamlit demo for text-to-image and image-to-image sampling in scripts/demo/sampling.py. They provide file hashes for the complete file as well as for only the saved tensors in the file ( see Model Spec for a script to evaluate that).

This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualiza
This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualization 4- Artificial Intelligence 5- Data Analysis 6- Statistics 7- Deep Learning 8- programming Languages โœ… best channels on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 โœ… Data Science Books: https://t.me/Codeprogrammer

* PIPNet's precision in facial landmark detection with a record 2.6% NME on the 300W benchmark. Explore the model and its capabilities by visiting our GitHub repository. Watch the performance showcase on YouTube. Support and star our project on GitHub for future advancements. video: https://www.youtube.com/watch?v=cxi1WQr-HKE source code: https://github.com/Shohruh72/PIPNet/tree/main join our community: ๐Ÿ‘‰ @deeplearning_ai

PIPNet Facial Landmark Detection PIPNet model has achieved a significant milestone on the 300W dataset, one of the most challenging benchmarks in facial landmark detection. Successfully attained a minimum Normalized Mean Error (NME) of 2.6%, demonstrating the model's high accuracy and robustness in complex facial recognition tasks. video: https://www.youtube.com/watch?v=cxi1WQr-HKE source code: https://github.com/Shohruh72/PIPNet/tree/main

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation ๐Ÿค—๐Ÿค—๐Ÿค— VideoCrafter is an open-source video generation
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VideoCrafter1: Open Diffusion Models for High-Quality Video Generation ๐Ÿค—๐Ÿค—๐Ÿค— VideoCrafter is an open-source video generation and editing toolbox for crafting video content. It currently includes the Text2Video and Image2Video models: https://github.com/ailab-cvc/videocrafter

This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualiza
This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualization 4- Artificial Intelligence 5- Data Analysis 6- Statistics 7- Deep Learning 8- programming Languages โœ… best channels on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 โœ… Data Science Books: https://t.me/DataScienceM

Harvard CS50 โ€“ Free Computer Science Course (2023 Edition) Here are the lectures included in this course: Lecture 0 - Scratch Lecture 1 - C Lecture 2 - Arrays Lecture 3 - Algorithms Lecture 4 - Memory Lecture 5 - Data Structures Lecture 6 - Python Lecture 7 - SQL Lecture 8 - HTML, CSS, JavaScript Lecture 9 - Flask Lecture 10 - Emoji Cybersecurity https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/ join our community: ๐Ÿ‘‰ @deeplearning_ai

MLOps+Masterclass+November+2023.pdf6.11 MB

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