Machine Learning
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Real Machine Learning β simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
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Network:π Analytical overview of Telegram channel Machine Learning
Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 403 subscribers, ranking 3 324 in the Technologies & Applications category and 225 in the Syria region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 403 subscribers.
According to the latest data from 13 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 421 over the last 30 days and by 25 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.65%. Within the first 24 hours after publication, content typically collects 1.74% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 070 views. Within the first day, a publication typically gains 701 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as distance, insidead, gpu, learning, degree.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βReal Machine Learning β simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikhoβ
Thanks to the high frequency of updates (latest data received on 14 July, 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.
40 403
Subscribers
+2524 hours
+1547 days
+42130 days
Posts Archive
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π₯ Trending Repository: CDP8
π Description: New version of CDP software
π Repository URL: https://github.com/ComposersDesktop/CDP8
π Readme: https://github.com/ComposersDesktop/CDP8#readme
π Statistics:
π Stars: 313 stars
π Watchers: 16
π΄ Forks: 19 forks
π» Programming Languages: C
π·οΈ Related Topics: Not available
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π§ By: https://t.me/DataScienceM
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π₯ Trending Repository: terminal-bench
π Description: A benchmark for LLMs on complicated tasks in the terminal
π Repository URL: https://github.com/laude-institute/terminal-bench
π Website: https://www.tbench.ai
π Readme: https://github.com/laude-institute/terminal-bench#readme
π Statistics:
π Stars: 428 stars
π Watchers: 7
π΄ Forks: 130 forks
π» Programming Languages: Python - JetBrains MPS - Shell - C++ - Dockerfile - C
π·οΈ Related Topics: Not available
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π§ By: https://t.me/DataScienceM
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π₯ Trending Repository: self-hosted-ai-starter-kit
π Description: The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
π Repository URL: https://github.com/n8n-io/self-hosted-ai-starter-kit
π Website: https://n8n.io
π Readme: https://github.com/n8n-io/self-hosted-ai-starter-kit#readme
π Statistics:
π Stars: 11.5K stars
π Watchers: 153
π΄ Forks: 2.8K forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#ai #self_hosted #starter_kit #low_code #ai_agents================================== π§ By: https://t.me/DataScienceM
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π₯ Trending Repository: leantime
π Description: Leantime is a goals focused project management system for non-project managers. Building with ADHD, Autism, and dyslexia in mind.
π Repository URL: https://github.com/Leantime/leantime
π Website: https://leantime.io
π Readme: https://github.com/Leantime/leantime#readme
π Statistics:
π Stars: 5.8K stars
π Watchers: 69
π΄ Forks: 671 forks
π» Programming Languages: PHP - JavaScript - CSS - Blade - Twig - HTML
π·οΈ Related Topics:
#php #trello #jira #sql #agile #calendar #projects #project_management #kanban #scrum #lean #strategy #timesheets #asana #gantt #hacktoberfest #notion #retrospective #clickup #leantime================================== π§ By: https://t.me/DataScienceM
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π₯ Trending Repository: clients
π Description: Bitwarden client apps (web, browser extension, desktop, and cli).
π Repository URL: https://github.com/bitwarden/clients
π Website: https://bitwarden.com
π Readme: https://github.com/bitwarden/clients#readme
π Statistics:
π Stars: 10.6K stars
π Watchers: 124
π΄ Forks: 1.4K forks
π» Programming Languages: TypeScript - HTML - SCSS - Rust - MDX - JavaScript
π·οΈ Related Topics:
#electron #nodejs #javascript #cli #firefox #chrome #angular #typescript #desktop #safari #webextension #browser_extension #bitwarden================================== π§ By: https://t.me/DataScienceM
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π₯ Trending Repository: puppeteer
π Description: JavaScript API for Chrome and Firefox
π Repository URL: https://github.com/puppeteer/puppeteer
π Website: https://pptr.dev
π Readme: https://github.com/puppeteer/puppeteer#readme
π Statistics:
π Stars: 91.8K stars
π Watchers: 1.2k
π΄ Forks: 9.3K forks
π» Programming Languages: TypeScript - JavaScript - HTML
π·οΈ Related Topics:
#testing #firefox #chrome #automation #web #chromium #developer_tools #node_module #headless_chrome================================== π§ By: https://t.me/DataScienceM
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π₯ Trending Repository: airi
π Description: ππ§Έ Self hosted, you owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
π Repository URL: https://github.com/moeru-ai/airi
π Website: https://airi.moeru.ai/docs/
π Readme: https://github.com/moeru-ai/airi#readme
π Statistics:
π Stars: 3.1K stars
π Watchers: 14
π΄ Forks: 215 forks
π» Programming Languages: Vue - TypeScript - Rust - C++ - HTML - CSS
π·οΈ Related Topics:
#live2d #vrm #digital_life #vtuber #neurosama #ai_vtuber #neuro_sama #moeru_ai #ai_companion #grok_companion================================== π§ By: https://t.me/DataScienceM
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π₯ Trending Repository: sim
π Description: Sim is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.
π Repository URL: https://github.com/simstudioai/sim
π Website: https://www.sim.ai
π Readme: https://github.com/simstudioai/sim#readme
π Statistics:
π Stars: 7.7K stars
π Watchers: 56
π΄ Forks: 1K forks
π» Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty
π·οΈ Related Topics:
#react #automation #typescript #ai #nextjs #chatbot #artificial_intelligence #gemini #openai #agents #low_code #no_code #rag #anthropic #deepseek #aiagents #agentic_workflow #agent_workflow================================== π§ By: https://t.me/DataScienceM
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β¨ Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers β¨
π Table of Contents Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers Configuring Your Development Environment Problem Statement How Does Super-Resolution Solve This? State-of-the-Art Approaches Generative Adversarial Networks (GANs) Diffusion Models Implementing Diffus...
π·οΈ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #Tutorial
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β¨ Face detection tips, suggestions, and best practices β¨
π In this tutorial, you will learn my tips, suggestions, and best practices to achieve high face detection accuracy with OpenCV and dlib. Weβve covered face detection four times on the PyImageSearch blog: Face detection with OpenCV and Haar cascades Faceβ¦...
π·οΈ #FaceApplications #OpenCVTutorials #Tutorials
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β¨ What is face recognition? β¨
π In this tutorial, you will learn about face recognition, including: How face recognition works How face recognition is different from face detection A history of face recognition algorithms State-of-the-art algorithms used for face recognition today Next week we will startβ¦...
π·οΈ #FaceApplications
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β¨ Face Recognition with Local Binary Patterns (LBPs) and OpenCV β¨
π In this tutorial, you will learn how to perform face recognition using Local Binary Patterns (LBPs), OpenCV, and the cv2.face.LBPHFaceRecognizer_create function. In our previous tutorial, we discussed the fundamentals of face recognition, including: The difference between face detection and faceβ¦...
π·οΈ #FaceApplications #OpenCVTutorials #Tutorials
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β¨ OpenCV Eigenfaces for Face Recognition β¨
π In this tutorial, you will learn how to implement face recognition using the Eigenfaces algorithm, OpenCV, and scikit-learn. Our previous tutorial introduced the concept of face recognition β detecting the presence of a face in an image/video and then subsequentlyβ¦...
π·οΈ #FaceApplications #OpenCVTutorials #Tutorials
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β¨ How to configure your NVIDIA Jetson Nano for Computer Vision and Deep Learning β¨
π In todayβs tutorial, you will learn how to configure your NVIDIA Jetson Nano for Computer Vision and Deep Learning with TensorFlow, Keras, TensorRT, and OpenCV. Two weeks ago, we discussed how to use my pre-configured Nano .img file β today,β¦...
π·οΈ #DeepLearning #EmbeddedIoTandComputerVision #IoT #Tutorials
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β¨ An interview with Brandon Gilles, creator of the OpenCV AI Kit (OAK) β¨
π In this post, I interview Brandon Gilles, a longtime PyImageSearch reader, and creator of the OpenCV AI Kit (OAK), which is revolutionizing how we are performing embedded computer vision and deep learning. To celebrate the 20th anniversary of the OpenCVβ¦...
π·οΈ #DeepLearning #EmbeddedIoTandComputerVision #Interviews #OpenCVAIKit
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β¨ An interview with Jagadish Mahendran, 1st place winner of the OpenCV Spatial AI Competition β¨
π In this post, I interview Jagadish Mahendran, senior Computer Vision/Artificial Intelligence (AI) engineer who recently won 1st place in the OpenCV Spatial AI Competition using the new OpenCV AI Kit (OAK). Jagadishβs winning project was a computer vision system forβ¦...
π·οΈ #EmbeddedIoTandComputerVision #Interviews #OpenCVAIKit
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β¨ Introduction to OpenCV AI Kit (OAK) β¨
π Table of Contents Introduction to OpenCV AI Kit (OAK) Introduction OAK Hardware OAK-1 OAK-D Limitation OAK-FFC OAK USB Hardware Offerings OAK PoE Hardware Offerings OAK Developer Kit OAK Modules Comparison Applications on OAK Image Classifier On-Device Face Detection Face Maskβ¦...
π·οΈ #EmbeddedIoTandComputerVision #EmbeddedIoTComputerVision #OAK #Tutorials
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β¨ Training a custom dlib shape predictor β¨
π In this tutorial, you will learn how to train your own custom dlib shape predictor. Youβll then learn how to take your trained dlib shape predictor and use it to predict landmarks on input images and real-time video streams. Todayβ¦...
π·οΈ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
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β¨ Tuning dlib shape predictor hyperparameters to balance speed, accuracy, and model size β¨
π In this tutorial, you will learn how to optimally tune dlibβs shape predictor hyperparameters and options to obtain a shape predictor that balances speed, accuracy, and model size. Today is part two in our two-part series on training custom shapeβ¦...
π·οΈ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
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β¨ Optimizing dlib shape predictor accuracy with find_min_global β¨
π In this tutorial you will learn how to use dlibβs find_min_global function to optimize the options and hyperparameters to dlibβs shape predictor, yielding a more accurate model. A few weeks ago I published a two-part series on using dlib toβ¦...
π·οΈ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
