π Vision Transformer (ViT) Tutorial β Part 1: From CNNs to Transformers β The Revolution in Computer Vision
Let's start: https://hackmd.io/@husseinsheikho/vit-1
Let's start: https://hackmd.io/@husseinsheikho/vit-1
#VisionTransformer #ViT #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #NeuralNetworks #ImageClassification #AttentionIsAllYouNeed
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π Ultimate Guide to Graph Neural Networks (GNNs): Part 1 β Foundations of Graph Theory & Why GNNs Revolutionize AI
Duration: ~45 minutes reading time | Comprehensive beginner-to-advanced introduction
Let's start: https://hackmd.io/@husseinsheikho/GNN-1
Duration: ~45 minutes reading time | Comprehensive beginner-to-advanced introduction
Let's start: https://hackmd.io/@husseinsheikho/GNN-1
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #NodeClassification #LinkPrediction #GraphRepresentation #AIforBeginners #AdvancedAIο»Ώ
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π Ultimate Guide to Graph Neural Networks (GNNs): Part 2 β 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
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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Duration: ~60 minutes reading time | Comprehensive deep dive into cutting-edge GNN architectures
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #GraphTransformers #TemporalGNNs #GeometricDeepLearning #AdvancedGNNs #AIforBeginners #AdvancedAI
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π Ultimate Guide to Graph Neural Networks (GNNs): Part 4 β 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
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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π Ultimate Guide to Graph Neural Networks (GNNs): Part 5 β 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
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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π Ultimate Guide to Graph Neural Networks (GNNs): Part 6 β 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
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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π Ultimate Guide to Graph Neural Networks (GNNs): Part 7 β 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
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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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PyTorch Masterclass: Part 1 β Foundations of Deep Learning with PyTorch
Duration: ~120 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-1
https://t.iss.one/DataScienceMπ°
Duration: ~120 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-1
#PyTorch #DeepLearning #MachineLearning #AI #NeuralNetworks #DataScience #Python #Tensors #Autograd #Backpropagation #GradientDescent #AIForBeginners #PyTorchTutorial #MachineLearningEngineer
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β¨ NeRFs Explained: Goodbye Photogrammetry? β¨
π Table of Contents NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Stepsβ¦...
π·οΈ #3DComputerVision #3DReconstruction #DeepLearning #NeuralNetworks #Photogrammetry #Tutorial
π Table of Contents NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Stepsβ¦...
π·οΈ #3DComputerVision #3DReconstruction #DeepLearning #NeuralNetworks #Photogrammetry #Tutorial