Available now! Telegram Research 2025 โ the year's key insights 
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:
Show more๐ 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 58 023 subscribers, ranking 2 289 in the Technologies & Applications category and 6 003 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 58 023 subscribers.
According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -193 over the last 30 days and by 17 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 9.42%. 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 5 467 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 16.
- Thematic interests: Content is focused on key topics such as github, learning, estimation, dataset, engineer.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โChannel 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 25 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.
58 023
Subscribers
+1724 hours
-237 days
-19330 days
Posts Archive
๐ Welcome to
@realgroupforprogrammer ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐จโ๐ป
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐น๐ฎ๐ฐ๐ธ๐๐ฎ๐ ๐ ๐ฒ๐๐ต๐ผ๐ฑ๐ ๐
๐๐ป๐ฑ ๐บ๐๐ฐ๐ต ๐บ๐ผ๐ฟ๐ฒ ๐น๐ฎ๐๐ฒ๐๐ ๐๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐บ๐ฒ๐๐ต๐ผ๐ฑ๐, ๐๐ถ๐ฝ๐ ๐ฎ๐ป๐ฑ ๐๐ฟ๐ถ๐ฐ๐ธ๐.
๐ป ๐๐ฒ๐ฟ๐ฒ ๐๐ผ๐ ๐ฐ๐ฎ๐ป ๐น๐ฒ๐ฎ๐ฟ๐ป :- ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด, ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐๐ฟ๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐ช๐ฒ๐ฏ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐, ๐๐ฝ๐ฝ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐, ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด, ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ, ๐๐ฒ๐ฒ๐ฝ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด, ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ, ๐๐ถ๐ด๐ถ๐๐ฎ๐น ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐๐ถ๐ป๐ด, ๐๐ฟ๐ฎ๐ฝ๐ต๐ถ๐ฐ ๐ฑ๐ฒ๐๐ถ๐ด๐ป, ๐๐ป๐ถ๐บ๐ฎ๐๐ถ๐ผ๐ป, ๐ฉ๐ถ๐ฑ๐ฒ๐ผ ๐ฒ๐ฑ๐ถ๐๐ถ๐ป๐ด, ๐ฃ๐ต๐ผ๐๐ผ๐ด๐ฟ๐ฎ๐ฝ๐ต๐, ๐ฃ๐ต๐ผ๐๐ผ๐ ๐ฒ๐ฑ๐ถ๐๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐บ๐ฎ๐ป๐ ๐บ๐ผ๐ฟ๐ฒ ๐น๐ผ๐๐ ๐ผ๐ณ ๐๐ต๐ถ๐ป๐ด ๐ถ๐ป ๐ณ๐ฟ๐ฒ๐ฒ ๐๐
๐
โ
๐ ๐ฐ๐น๐ฒ๐ฎ๐ป ๐น๐ถ๐ฏ๐ฟ๐ฎ๐ฟ๐ ๐ณ๐ผ๐ฟ ๐ด๐ฒ๐ฒ๐ธ๐.
๐๐ฒ๐ ๐๐๐ด ๐๐ผ๐๐ป๐๐, ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด, ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐๐๐ฏ๐ฒ๐ฟ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐, ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด & ๐น๐ผ๐ ๐บ๐ผ๐ฟ๐ฒ ๐น๐ฎ๐๐ฒ๐๐ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ ๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ฒ๐๐ผ๐ผ๐ธ๐.
๐๐ป ๐๐ต๐ถ๐ ๐๐ต๐ฎ๐ป๐ป๐ฒ๐น, ๐ฌ๐ผ๐ ๐๐ถ๐น๐น ๐ด๐ฒ๐ ๐จ๐ฑ๐ฒ๐บ๐ ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐, ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ฟ๐ฎ ๐๐ผ๐๐ฟ๐๐ฒ๐, & ๐๐ฟ๐ฒ๐ฒ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐.
๐๐ค๐ง ๐๐ง๐๐ ๐๐ค๐ช๐ง๐จ๐๐จ,๐๐ค๐ค๐ ๐จ,๐ฅ๐ง๐ค๐๐๐๐ฉ๐จ,๐๐ฃ๐ฉ๐๐ง๐ฃ๐จ๐๐๐ฅ๐จ,๐ฅ๐ก๐๐๐๐ข๐๐ฃ๐ฉ๐จ ๐๐ฃ๐ ๐๐ค๐๐จ ๐ง๐๐ก๐๐ฉ๐๐ ๐ข๐๐ฉ๐๐ง๐๐๐ก๐จ ๐๐ฃ๐ ๐ช๐ฅ๐๐๐ฉ๐๐จ ๐๐ค๐๐ฃ ๐ค๐ช๐ง ๐ฉ๐๐ก๐๐๐ง๐๐ข ๐๐๐๐ฃ๐ฃ๐๐ก:
https://t.me/realgroupforprogrammer
๐ฆ๐ผ ๐๐ต๐ฎ๐ ๐ฎ๐ฟ๐ฒ ๐๐ผ๐ ๐๐ฎ๐ถ๐๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ?
๐๐ผ๐ถ๐ป ๐ฟ๐ถ๐ด๐ต๐ ๐ป๐ผ๐๐
https://t.me/realgroupforprogrammer
๐ Welcome to
@realgroupforprogrammer ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐จโ๐ป
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐น๐ฎ๐ฐ๐ธ๐๐ฎ๐ ๐ ๐ฒ๐๐ต๐ผ๐ฑ๐ ๐
๐๐ป๐ฑ ๐บ๐๐ฐ๐ต ๐บ๐ผ๐ฟ๐ฒ ๐น๐ฎ๐๐ฒ๐๐ ๐๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐บ๐ฒ๐๐ต๐ผ๐ฑ๐, ๐๐ถ๐ฝ๐ ๐ฎ๐ป๐ฑ ๐๐ฟ๐ถ๐ฐ๐ธ๐.
๐ป ๐๐ฒ๐ฟ๐ฒ ๐๐ผ๐ ๐ฐ๐ฎ๐ป ๐น๐ฒ๐ฎ๐ฟ๐ป :- ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด, ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐๐ฟ๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐ช๐ฒ๐ฏ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐, ๐๐ฝ๐ฝ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐, ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด, ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ, ๐๐ฒ๐ฒ๐ฝ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด, ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ, ๐๐ถ๐ด๐ถ๐๐ฎ๐น ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐๐ถ๐ป๐ด, ๐๐ฟ๐ฎ๐ฝ๐ต๐ถ๐ฐ ๐ฑ๐ฒ๐๐ถ๐ด๐ป, ๐๐ป๐ถ๐บ๐ฎ๐๐ถ๐ผ๐ป, ๐ฉ๐ถ๐ฑ๐ฒ๐ผ ๐ฒ๐ฑ๐ถ๐๐ถ๐ป๐ด, ๐ฃ๐ต๐ผ๐๐ผ๐ด๐ฟ๐ฎ๐ฝ๐ต๐, ๐ฃ๐ต๐ผ๐๐ผ๐ ๐ฒ๐ฑ๐ถ๐๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐บ๐ฎ๐ป๐ ๐บ๐ผ๐ฟ๐ฒ ๐น๐ผ๐๐ ๐ผ๐ณ ๐๐ต๐ถ๐ป๐ด ๐ถ๐ป ๐ณ๐ฟ๐ฒ๐ฒ ๐๐
๐
โ
๐ ๐ฐ๐น๐ฒ๐ฎ๐ป ๐น๐ถ๐ฏ๐ฟ๐ฎ๐ฟ๐ ๐ณ๐ผ๐ฟ ๐ด๐ฒ๐ฒ๐ธ๐.
๐๐ฒ๐ ๐๐๐ด ๐๐ผ๐๐ป๐๐, ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด, ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด, ๐๐๐ฏ๐ฒ๐ฟ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐, ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด & ๐น๐ผ๐ ๐บ๐ผ๐ฟ๐ฒ ๐น๐ฎ๐๐ฒ๐๐ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ ๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ฒ๐๐ผ๐ผ๐ธ๐.
๐๐ป ๐๐ต๐ถ๐ ๐๐ต๐ฎ๐ป๐ป๐ฒ๐น, ๐ฌ๐ผ๐ ๐๐ถ๐น๐น ๐ด๐ฒ๐ ๐จ๐ฑ๐ฒ๐บ๐ ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐, ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ฟ๐ฎ ๐๐ผ๐๐ฟ๐๐ฒ๐, & ๐๐ฟ๐ฒ๐ฒ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐.
๐๐ค๐ง ๐๐ง๐๐ ๐๐ค๐ช๐ง๐จ๐๐จ,๐๐ค๐ค๐ ๐จ,๐ฅ๐ง๐ค๐๐๐๐ฉ๐จ,๐๐ฃ๐ฉ๐๐ง๐ฃ๐จ๐๐๐ฅ๐จ,๐ฅ๐ก๐๐๐๐ข๐๐ฃ๐ฉ๐จ ๐๐ฃ๐ ๐๐ค๐๐จ ๐ง๐๐ก๐๐ฉ๐๐ ๐ข๐๐ฉ๐๐ง๐๐๐ก๐จ ๐๐ฃ๐ ๐ช๐ฅ๐๐๐ฉ๐๐จ ๐๐ค๐๐ฃ ๐ค๐ช๐ง ๐ฉ๐๐ก๐๐๐ง๐๐ข ๐๐๐๐ฃ๐ฃ๐๐ก:
https://t.me/realgroupforprogrammer
๐ฆ๐ผ ๐๐ต๐ฎ๐ ๐ฎ๐ฟ๐ฒ ๐๐ผ๐ ๐๐ฎ๐ถ๐๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ?
๐๐ผ๐ถ๐ป ๐ฟ๐ถ๐ด๐ต๐ ๐ป๐ผ๐๐
https://t.me/realgroupforprogrammer
Harvard CS109A #DataScience course materials โ huge collection free & open!
1. Lecture notes
2. R code, #Python notebooks
3. Lab material
4. Advanced sections
and more ...
https://harvard-iacs.github.io/2019-CS109A/pages/materials.html
It will be really useful for you
invite your friends ๐น๐น
@Deeplearning_ai
CVPR 2022 Open Access...
Open Access versions, provided by the Computer Vision Foundation.
Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore.
EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks
Official PyTorch implementation of the CVPR 2022 paper.
Kickstart your developer journey with free courses and cash rewards for you time in one place ๐๐ฐ
Use code "aideeplearning" to gain access: https://bit.ly/3KU21bq ๐
StackUp is a platform for devs where you can learn programming & Web3.0 technologies, all while earning. Get rewarded for completing a variety of learning quests.
With new campaigns each week, you can earn from a pool of over 10 000USD in cash rewards each month. This month's campaign has a total pool of 30 000USD worth of rewards! ๐
Accelerate AI training in a few lines of code without changing the training setup.
https://github.com/nebuly-ai/nebulgym
invite your friends ๐น๐น
@Deeplearning_ai
[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)
https://github.com/Garfield-kh/PoseTriplet
invite your friends ๐น๐น
@Deeplearning_ai
Free programming courses & quests with cash rewards for your time in one place ๐๐ฐ
StackUp [app.stackup.dev] is a platform made for devs where you can learn about programming languages like Rust, Python, Go, Solidity, and other technologies, and earn while learning. Rewards are given after successful completion of quests.
With new campaigns every week, you can earn from a pool of over 10,000USD in cash rewards each month!
To sign up use code "machinelearning0" and gain early access: https://bit.ly/3FpfqHr
Hope it helps you to level up in the community and master different tools essential to your career as a developer! ๐
At DAIR.AI we heart open education. We are excited to share some of the best and most recent machine learning courses available on YouTube.
Hot topics:
1. Stanford CS229: Machine Learning
2. Practical Deep Learning for Coders (2020)
3. Deep Unsupervised Learning
4. Advanced NLP
5. Deep Learning for Computer Vision
6. Deep Reinforcement Learning
7. Full Stack Deep Learning
8. Self-Driving Cars (Tรผbingen)
https://github.com/dair-ai/ML-YouTube-Courses
invite your friends ๐น๐น
@Deeplearning_ai
If you are learning Machine Learning and wants to make end-to-end Machine Learning real-world projects, then this website can be a great resource for you.
It has project bundle(Dragon bundle) comprising more than 550+ real-world projects in ML, DL, DS, CV and NLP and PYTHON3.
More details are showned in the image above.
- Each project comes with required Dataset, complete source code(Python3) and documentation along with explanatory comments so that even beginner can understand.
- Life time access and projects are getting updates each month.
You can download the list of complete 550+ projects from our website.
Visit our website for more information.
Website Link:
https://tensorprojects.com/dragonbundle
FLAG: Flow-based 3D Avatar Generation
from Sparse Observations.
[PAPER] [Project Page]
Realtime Object-aware Monocular Depth Estimation in Onboard Systems
Video Paper Bibtex
invite your friends ๐น๐น
@Deeplearning_ai
Multi Task Learning for 3D segmentation
Perception stack of an Autonomous Driving system often contains multiple neural networks working together to predict bounding boxes, segmentation maps, depth maps, lane lines etc. Having a separate neural network for each task creates an heavy impact on system's processing speed.
https://github.com/adithyagaurav/Multi_Task_Learning
invite your friends ๐น๐น
@Deeplearning_ai
obss/sahi: A lightweight vision library for performing large scale object detection/ instance segmentation.
https://github.com/obss/sahi
Image Super Resolution - PyImageSearch
https://pyimagesearch.com/2022/02/14/image-super-resolution/
invite your friends ๐น๐น
@Deeplearning_ai
.
Want to jump ahead in artificial intelligence and/or digital pathology? Excited to share that after 2+ years of development PathML 2.0 is out! An open source #computational #pathology software library created by Dana-Farber Cancer Institute/Harvard Medical School and Weill Cornell Medicine led by Massimo Loda to lower the barrier to entry to #digitalpathology and #artificialintelligence , and streamline all #imageanalysis or #deeplearning workflows.
โญ Code: https://github.com/Dana-Farber-AIOS/pathml
321 Open Source Pytorch Implementation Software Projects
Free and open source pytorch implementation code projects including engines, APIs, generators, and tools.
https://opensourcelibs.com/libs/pytorch-implementation
invite your friends ๐น๐น
t.me/MachineLearning_Programming
.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
https://www.ritchieng.com/the-incredible-pytorch/
https://github.com/ritchieng/the-incredible-pytorch
@deeplearning_ai
