Computer Science and Programming

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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 * Related Courses and Ebooks With advertising offers contact:

India28 001 Technologies & Applications8 595...

📈 Analytical overview of Telegram channel Computer Science and Programming

Channel Computer Science and Programming (@machinelearning_programming) in the English language segment is an active participant. Currently, the community unites 14 500 subscribers, ranking 8 595 in the Technologies & Applications category and 28 001 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 14 500 subscribers.

According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -117 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 9.99%. 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 0 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 0.
Thematic interests: Content is focused on key topics such as learning, github, engineer, quantization, detection.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:”

Thanks to the high frequency of updates (latest data received on 27 August, 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.

14 500

Subscribers

-1024 hours

-157 days

-11730 days

1 449

Post views

No data24 hours

No data48 hours

9.99%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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Course Catalog Download All Udemy Paid Courses And Tutorials FREE - Course Catalog Why Course Catalog? - Course Catalog - Upload New Tutorials And Courses On CourseCatalog.us Every Day. So If You Want To Download More Free Courses And Free Tutorials Then Visit them, Again And Again, to get paid courses for free. Free Tutorials: - The Course Catalog is the largest and most famous website in the world, providing free tutorials on all areas of computer science. Coursecatalog - From Coursecatalog You can find solutions for your IT problems. You can easily find thousands of video tutorials provided by experts here. The coursecatalog contains many free tutorials. t.me/deeplearning_ai 👇👇👇

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A curated list of awesome Python frameworks, libraries, software and resources. github: https://github.com/vinta/awesome-python https://t.me/MachineLearning_Programming

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Millions of learners have used Class Central to find their next course. https://www.classcentral.com/ Join us and stay up to date with the latest news, research papers with spurce codes, books related to AI/ML/DL

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Millions of learners have used Class Central to find their next course. JOIN US AND STAY UP TO DATE WITH LATEST RESEARCH PAPERS with SOURCE CODE related to Artificial Intelligence https://www.classcentral.com/

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Github: https://github.com/OlafenwaMoses/DeepStack_ExDark Documentation: https://docs.deepstack.cc/index.html#installation Custom dataset preparation: https://docs.deepstack.cc/custom-models/datasetprep/index.html Training custom model: https://docs.deepstack.cc/custom-models/training/index.html

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Dark scene object detection API for detecting 12 common objects in the dark/night images and videos

14 500

500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲 https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code 👉https://t.me/MachineLearning_Programming

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3 Tools to Track and Visualize the Execution of your Python Code https://towardsdatascience.com/3-tools-to-track-and-visualize-the-execution-of-your-python-code-666a153e435e 👉https://t.me/MachineLearning_Programming

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Find and remove duplicate images in your dataset Improve your deep learning image datasets by automatically detecting duplicate and near-duplicate images and removing them https://towardsdatascience.com/find-and-remove-duplicate-images-in-your-dataset-3e3ec818b978 https://t.me/MachineLearning_Programming

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ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation [Cited by 452] paper: http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf github [PyTorch]: https://github.com/Eromera/erfnet_pytorch

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Graph Neural Networks (GNN, GAE, STGNN) https://jonathan-hui.medium.com/graph-neural-networks-gnn-gae-stgnn-1ac0b5c99550 https://t.me/MachineLearning_Programming

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http://introtodeeplearning.com/

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MIT 6.S191 Introduction to Deep Learning 2021 Course Description MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

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The Top 1,157 Computer Vision Open Source Projects https://awesomeopensource.com/projects/computer-vision https://t.me/MachineLearning_Programming

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21 Python Mini Projects With Code https://levelup.gitconnected.com/21-python-mini-projects-with-codes-c4126e4131e4 https://t.me/MachineLearning_Programming

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Project Page: https://github.com/TZYSJTU/Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale Paper: https://arxiv.org/pdf/2012.09004.pdf https://t.me/MachineLearning_Programming

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sticker.webp0.15 KB

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Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net https://deepai.org/publication/fast-and-furious-real-time-end-to-end-3d-detection-tracking-and-motion-forecasting-with-a-single-convolutional-net Join: https://t.me/DeepLearning_ai