Machine Learning – Telegram
Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Training a custom dlib shape predictor

📖 In this tutorial, you will learn how to train your own custom dlib shape predictor. You’ll then learn how to take your trained dlib shape predictor and use it to predict landmarks on input images and real-time video streams. Today…...

🏷️ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
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Introduction to OpenCV AI Kit (OAK)

📖 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 Mask…...

🏷️ #EmbeddedIoTandComputerVision #EmbeddedIoTComputerVision #OAK #Tutorials
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An interview with Jagadish Mahendran, 1st place winner of the OpenCV Spatial AI Competition

📖 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). Jagadish’s winning project was a computer vision system for…...

🏷️ #EmbeddedIoTandComputerVision #Interviews #OpenCVAIKit
An interview with Brandon Gilles, creator of the OpenCV AI Kit (OAK)

📖 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 OpenCV…...

🏷️ #DeepLearning #EmbeddedIoTandComputerVision #Interviews #OpenCVAIKit
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How to configure your NVIDIA Jetson Nano for Computer Vision and Deep Learning

📖 In today’s 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 — today,…...

🏷️ #DeepLearning #EmbeddedIoTandComputerVision #IoT #Tutorials
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OpenCV Eigenfaces for Face Recognition

📖 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 — detecting the presence of a face in an image/video and then subsequently…...

🏷️ #FaceApplications #OpenCVTutorials #Tutorials
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Face Recognition with Local Binary Patterns (LBPs) and OpenCV

📖 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 face…...

🏷️ #FaceApplications #OpenCVTutorials #Tutorials
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What is face recognition?

📖 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 start…...

🏷️ #FaceApplications
Face detection tips, suggestions, and best practices

📖 In this tutorial, you will learn my tips, suggestions, and best practices to achieve high face detection accuracy with OpenCV and dlib. We’ve covered face detection four times on the PyImageSearch blog: Face detection with OpenCV and Haar cascades Face…...

🏷️ #FaceApplications #OpenCVTutorials #Tutorials
Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers

📖 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...

🏷️ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #Tutorial
🔥 Trending Repository: sim

📝 Denoscription: 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.

🔗 Repository URL: https://github.com/simstudioai/sim

🌐 Website: https://www.sim.ai

📖 Readme: https://github.com/simstudioai/sim#readme

📊 Statistics:
🌟 Stars: 7.7K stars
👀 Watchers: 56
🍴 Forks: 1K forks

💻 Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty

🏷️ Related Topics:
#react #automation #typenoscript #ai #nextjs #chatbot #artificial_intelligence #gemini #openai #agents #low_code #no_code #rag #anthropic #deepseek #aiagents #agentic_workflow #agent_workflow


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🧠 By: https://news.1rj.ru/str/DataScienceM
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🔥 Trending Repository: puppeteer

📝 Denoscription: JavaScript API for Chrome and Firefox

🔗 Repository URL: https://github.com/puppeteer/puppeteer

🌐 Website: https://pptr.dev

📖 Readme: https://github.com/puppeteer/puppeteer#readme

📊 Statistics:
🌟 Stars: 91.8K stars
👀 Watchers: 1.2k
🍴 Forks: 9.3K forks

💻 Programming Languages: TypeScript - JavaScript - HTML

🏷️ Related Topics:
#testing #firefox #chrome #automation #web #chromium #developer_tools #node_module #headless_chrome


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🔥 Trending Repository: clients

📝 Denoscription: Bitwarden client apps (web, browser extension, desktop, and cli).

🔗 Repository URL: https://github.com/bitwarden/clients

🌐 Website: https://bitwarden.com

📖 Readme: https://github.com/bitwarden/clients#readme

📊 Statistics:
🌟 Stars: 10.6K stars
👀 Watchers: 124
🍴 Forks: 1.4K forks

💻 Programming Languages: TypeScript - HTML - SCSS - Rust - MDX - JavaScript

🏷️ Related Topics:
#electron #nodejs #javanoscript #cli #firefox #chrome #angular #typenoscript #desktop #safari #webextension #browser_extension #bitwarden


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🔥 Trending Repository: leantime

📝 Denoscription: Leantime is a goals focused project management system for non-project managers. Building with ADHD, Autism, and dyslexia in mind.

🔗 Repository URL: https://github.com/Leantime/leantime

🌐 Website: https://leantime.io

📖 Readme: https://github.com/Leantime/leantime#readme

📊 Statistics:
🌟 Stars: 5.8K stars
👀 Watchers: 69
🍴 Forks: 671 forks

💻 Programming Languages: PHP - JavaScript - CSS - Blade - Twig - HTML

🏷️ Related Topics:
#php #trello #jira #sql #agile #calendar #projects #project_management #kanban #scrum #lean #strategy #timesheets #asana #gantt #hacktoberfest #notion #retrospective #clickup #leantime


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🔥 Trending Repository: self-hosted-ai-starter-kit

📝 Denoscription: 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.

🔗 Repository URL: https://github.com/n8n-io/self-hosted-ai-starter-kit

🌐 Website: https://n8n.io

📖 Readme: https://github.com/n8n-io/self-hosted-ai-starter-kit#readme

📊 Statistics:
🌟 Stars: 11.5K stars
👀 Watchers: 153
🍴 Forks: 2.8K forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#ai #self_hosted #starter_kit #low_code #ai_agents


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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: terminal-bench

📝 Denoscription: A benchmark for LLMs on complicated tasks in the terminal

🔗 Repository URL: https://github.com/laude-institute/terminal-bench

🌐 Website: https://www.tbench.ai

📖 Readme: https://github.com/laude-institute/terminal-bench#readme

📊 Statistics:
🌟 Stars: 428 stars
👀 Watchers: 7
🍴 Forks: 130 forks

💻 Programming Languages: Python - JetBrains MPS - Shell - C++ - Dockerfile - C

🏷️ Related Topics: Not available

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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: CDP8

📝 Denoscription: New version of CDP software

🔗 Repository URL: https://github.com/ComposersDesktop/CDP8

📖 Readme: https://github.com/ComposersDesktop/CDP8#readme

📊 Statistics:
🌟 Stars: 313 stars
👀 Watchers: 16
🍴 Forks: 19 forks

💻 Programming Languages: C

🏷️ Related Topics: Not available

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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: epicenter

📝 Denoscription: Press shortcut → speak → get text. Free and open source. More local-first apps soon ❤️

🔗 Repository URL: https://github.com/epicenter-so/epicenter

🌐 Website: https://epicenter.so/

📖 Readme: https://github.com/epicenter-so/epicenter#readme

📊 Statistics:
🌟 Stars: 2.2K stars
👀 Watchers: 9
🍴 Forks: 131 forks

💻 Programming Languages: TypeScript - Svelte - Astro - Rust - CSS - JavaScript - HTML

🏷️ Related Topics:
#svelte #tauri #tailwindcss #sveltekit


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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: BitNet

📝 Denoscription: Official inference framework for 1-bit LLMs

🔗 Repository URL: https://github.com/microsoft/BitNet

📖 Readme: https://github.com/microsoft/BitNet#readme

📊 Statistics:
🌟 Stars: 20.8K stars
👀 Watchers: 193
🍴 Forks: 1.6K forks

💻 Programming Languages: Python - C++

🏷️ Related Topics: Not available

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🧠 By: https://news.1rj.ru/str/DataScienceM
Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques

📖 Table of Contents Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? What Is Super-Resolution? Usual Problems with Low-Resolution Imagery Traditional Computer Vision A...

🏷️ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #TechnologyApplications #Tutorial
Adversarial Learning with Keras and TensorFlow (Part 3): Exploring Adversarial Attacks Using Neural Structured Learning (NSL)

📖 Table of Contents Adversarial Learning with Keras and TensorFlow (Part 3): Exploring Adversarial Attacks Using Neural Structured Learning (NSL) Introduction to Advanced Adversarial Techniques in Machine Learning Harnessing NSL for Robust Model Training: Insights from Part 2 Deep Dive into…...

🏷️ #AdversarialLearning #DeepLearning #ImageProcessing #Keras #MachineLearning #NeuralNetworks #NeuralStructuredLearning #TensorFlow #Tutorial