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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 2 — The Message Passing Framework: Mathematical Heart of All GNNs

Duration: ~60 minutes reading time | Comprehensive deep dive into the core mechanism powering modern GNNs

Let's study: https://hackmd.io/@husseinsheikho/GNN-2

#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #MessagePassing #GraphAlgorithms #NodeClassification #LinkPrediction #GraphRepresentation #AIforBeginners #AdvancedAI

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📕 Ultimate Guide to Graph Neural Networks (GNNs): Part 3 — Advanced GNN Architectures: Transformers, Temporal Networks & Geometric Deep Learning

Duration: ~60 minutes reading time | Comprehensive deep dive into cutting-edge GNN architectures

🆘 Read: https://hackmd.io/@husseinsheikho/GNN-3

#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #GraphTransformers #TemporalGNNs #GeometricDeepLearning #AdvancedGNNs #AIforBeginners #AdvancedAI


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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 4 — GNN Training Dynamics, Optimization Challenges, and Scalability Solutions

Duration: ~45 minutes reading time | Comprehensive guide to training GNNs effectively at scale

Part 4-A: https://hackmd.io/@husseinsheikho/GNN4-A

Part4-B: https://hackmd.io/@husseinsheikho/GNN4-B

#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #GNNOptimization #ScalableGNNs #TrainingDynamics #AIforBeginners #AdvancedAI


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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 5 — GNN Applications Across Domains: Real-World Impact in 30 Minutes

Duration: ~30 minutes reading time | Practical guide to GNN applications with concrete ROI metrics

Link: https://hackmd.io/@husseinsheikho/GNN-5

#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #RealWorldApplications #HealthcareAI #FinTech #DrugDiscovery #RecommendationSystems #ClimateAI

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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 6 — Advanced Frontiers, Ethics, and Future Directions

Duration: ~50 minutes reading time | Cutting-edge insights on where GNNs are headed

Let's read: https://hackmd.io/@husseinsheikho/GNN-6

#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #FutureOfGNNs #EmergingResearch #EthicalAI #GNNBestPractices #AdvancedAI #50MinuteRead

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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 7 — Advanced Implementation, Multimodal Integration, and Scientific Applications

Duration: ~60 minutes reading time | Deep dive into cutting-edge GNN implementations and applications

Read: https://hackmd.io/@husseinsheikho/GNN7

#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #AdvancedGNNs #MultimodalLearning #ScientificAI #GNNImplementation #60MinuteRead

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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
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
Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch

📖 Table of Contents Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch Introduction What Will We Do in This Blog? Why Are We Using Vector Embeddings? What’s Coming Next? Configuring Your Development Environment Installing Docker (Required for…...

🏷️ #Docker #MachineLearning #OpenSearch #SearchEngines #SemanticSearch #Tutorial #VectorSearch
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FastAPI Meets OpenAI CLIP: Build and Deploy with Docker

📖 Table of Contents FastAPI Meets OpenAI CLIP: Build and Deploy with Docker Building on FastAPI Foundations What’s Next? What Is OpenAI CLIP? How OpenAI CLIP Works: Understanding Text-Image Matching and Contrastive Learning Contrastive Pre-Training: Aligning Text and Image Embeddings Shared…...

🏷️ #AIApplications #DockerDeployment #FastAPIDevelopment #MachineLearning #Tutorial
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Introduction to Gradio for Building Interactive Applications

📖 Table of Contents Introduction to Gradio for Building Interactive Applications What Is Gradio? High-Impact Projects Powered by Gradio AUTOMATIC1111’s Stable Diffusion Web UI oobabooga’s Text Generation Web UI The Next Generation of Gradio: What’s New in Version 5 Performance Improvements…...

🏷️ #Gradio #MachineLearning #Python #SoftwareDevelopment #Tutorial
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Implementing Approximate Nearest Neighbor Search with KD-Trees

📖 Table of Contents Implementing Approximate Nearest Neighbor Search with KD-Trees Introduction to Approximate Nearest Neighbor Search Mathematical Foundation KD-Trees for Approximate Nearest Neighbor Search Construction of KD-Trees Querying with KD-Trees Step 1: Forward Traversal Step 2: Computing th...

🏷️ #ApproximateNearestNeighbor #KDTree #MachineLearning #NearestNeighborAlgorithm #Tutorial
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Object Tracking with YOLOv8 and Python

📖 Table of Contents Object Tracking with YOLOv8 and Python YOLOv8: Reliable Object Detection and Tracking Understanding YOLOv8 Architecture Mosaic Data Augmentation Anchor-Free Detection C2f (Coarse-to-Fine) Module Decoupled Head Loss Object Detection and Tracking with YOLOv8 Object Detection Object T...

🏷️ #AdvancedComputerVision #DataScience #DeepLearning #MachineLearning #ObjectDetection #ObjectTracking #ProgrammingTutorials #Tutorial #VideoObjectTracking #YOLO