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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🌟 Vision Transformer (ViT) Tutorial – Part 5: Efficient Vision Transformers – MobileViT, TinyViT & Edge Deployment

Read lesson: https://hackmd.io/@husseinsheikho/vit-5

#MobileViT #TinyViT #EfficientViT #EdgeAI #ModelOptimization #ONNX #TensorRT #TorchServe #DeepLearning #ComputerVision #Transformers

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🌟 Vision Transformer (ViT) Tutorial – Part 6: Vision Transformers in Production – MLOps, Monitoring & CI/CD

Learn more: https://hackmd.io/@husseinsheikho/vit-6

#MLOps #ModelMonitoring #CIforML #MLflow #WandB #Kubeflow #ProductionAI #DeepLearning #ComputerVision #Transformers #AIOps

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🌟 Vision Transformer (ViT) Tutorial – Part 7: The Future of Vision Transformers – Multimodal, 3D, and Beyond

Learn: https://hackmd.io/@husseinsheikho/vit-7

#FutureOfViT #MultimodalAI #3DViT #TimeSformer #PaLME #MedicalAI #EmbodiedAI #RetNet #Mamba #NextGenAI #DeepLearning #ComputerVision #Transformers

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πŸ”₯ Master Vision Transformers with 65+ MCQs! πŸ”₯

Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?

🧠 Dive into 65+ curated Multiple Choice Questions covering the fundamentals, architecture, training, and applications of ViT β€” all with answers!

🌐 Explore Now: https://hackmd.io/@husseinsheikho/vit-mcq

πŸ”Ή Table of Contents
Basic Concepts (Q1–Q15)
Architecture & Components (Q16–Q30)
Attention & Transformers (Q31–Q45)
Training & Optimization (Q46–Q55)
Advanced & Real-World Applications (Q56–Q65)
Answer Key & Explanations

#VisionTransformer #ViT #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #MCQ #InterviewPrep


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✨ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset ✨

πŸ“– Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Training…...

🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO
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✨ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset ✨

πŸ“– Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Training…...

🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO
✨ Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers ✨

πŸ“– 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
✨ Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques ✨

πŸ“– 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
✨ CycleGAN: Unpaired Image-to-Image Translation (Part 1) ✨

πŸ“– Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 1) Introduction Unpaired Image Translation CycleGAN Pipeline and Training Loss Formulation Adversarial Loss Cycle Consistency Summary Citation Information CycleGAN: Unpaired Image-to-Image Translation (Part 1) In this tutorial, yo...

🏷️ #ComputerVision #CycleGAN #DeepLearning #Keras #KerasandTensorFlow #TensorFlow #UnpairedImageTranslation