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
βοΈ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk
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
https://t.iss.one/DataScienceM
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PyTorch Masterclass: Part 2 β Deep Learning for Computer Vision with PyTorch
Duration: ~60 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-2
https://t.iss.one/DataScienceMπ―
Duration: ~60 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-2
#PyTorch #ComputerVision #CNN #DeepLearning #TransferLearning #CIFAR10 #ImageClassification #DataLoaders #Transforms #ResNet #EfficientNet #PyTorchVision #AI #MachineLearning #ConvolutionalNeuralNetworks #DataAugmentation #PretrainedModels
https://t.iss.one/DataScienceM
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PyTorch Masterclass: Part 3 β Deep Learning for Natural Language Processing with PyTorch
Duration: ~120 minutes
Link A: https://hackmd.io/@husseinsheikho/pytorch-3a
Link B: https://hackmd.io/@husseinsheikho/pytorch-3b
https://t.iss.one/DataScienceMβ οΈ
Duration: ~120 minutes
Link A: https://hackmd.io/@husseinsheikho/pytorch-3a
Link B: https://hackmd.io/@husseinsheikho/pytorch-3b
#PyTorch #NLP #RNN #LSTM #GRU #Transformers #Attention #NaturalLanguageProcessing #TextClassification #SentimentAnalysis #WordEmbeddings #DeepLearning #MachineLearning #AI #SequenceModeling #BERT #GPT #TextProcessing #PyTorchNLP
https://t.iss.one/DataScienceM
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PyTorch Masterclass: Part 4 β Generative Models with PyTorch
Duration: ~120 minutes
Link A: https://hackmd.io/@husseinsheikho/pytorch-4A
Link B: https://hackmd.io/@husseinsheikho/pytorch-4B
https://t.iss.one/DataScienceMπ
Duration: ~120 minutes
Link A: https://hackmd.io/@husseinsheikho/pytorch-4A
Link B: https://hackmd.io/@husseinsheikho/pytorch-4B
#PyTorch #GenerativeAI #GANs #VAEs #DiffusionModels #Autoencoders #TextToImage #DeepLearning #MachineLearning #AI #GenerativeAdversarialNetworks #VariationalAutoencoders #StableDiffusion #DALLE #ImageGeneration #MusicGeneration #AudioSynthesis #LatentSpace #PyTorchGenerative
https://t.iss.one/DataScienceM
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PyTorch Masterclass: Part 5 β Reinforcement Learning with PyTorch
Duration: ~90 minutes
LINK: https://hackmd.io/@husseinsheikho/pytorch-5
https://t.iss.one/DataScienceMπΎ
Duration: ~90 minutes
LINK: https://hackmd.io/@husseinsheikho/pytorch-5
#PyTorch #ReinforcementLearning #RL #DeepRL #Qlearning #DQN #PPO #DDPG #MarkovDecisionProcesses #AI #MachineLearning #DeepLearning #ReinforcementLearning #PyTorchRL
https://t.iss.one/DataScienceM
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Python Commands for Data Cleaning
#Python #DataCleaning #DataAnalytics #DataScientists #MachineLearning #ArtificialIntelligence #DataAnalysis
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#Python #DataCleaning #DataAnalytics #DataScientists #MachineLearning #ArtificialIntelligence #DataAnalysis
https://t.iss.one/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
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
β¨ Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques β¨
π 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...
π·οΈ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #TechnologyApplications #Tutorial
π 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...
π·οΈ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #TechnologyApplications #Tutorial
β¨ Adversarial Learning with Keras and TensorFlow (Part 3): Exploring Adversarial Attacks Using Neural Structured Learning (NSL) β¨
π 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 intoβ¦...
π·οΈ #AdversarialLearning #DeepLearning #ImageProcessing #Keras #MachineLearning #NeuralNetworks #NeuralStructuredLearning #TensorFlow #Tutorial
π 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 intoβ¦...
π·οΈ #AdversarialLearning #DeepLearning #ImageProcessing #Keras #MachineLearning #NeuralNetworks #NeuralStructuredLearning #TensorFlow #Tutorial
β¨ Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch β¨
π 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? Whatβs Coming Next? Configuring Your Development Environment Installing Docker (Required forβ¦...
π·οΈ #Docker #MachineLearning #OpenSearch #SearchEngines #SemanticSearch #Tutorial #VectorSearch
π 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? Whatβs Coming Next? Configuring Your Development Environment Installing Docker (Required forβ¦...
π·οΈ #Docker #MachineLearning #OpenSearch #SearchEngines #SemanticSearch #Tutorial #VectorSearch
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β¨ FastAPI Meets OpenAI CLIP: Build and Deploy with Docker β¨
π Table of Contents FastAPI Meets OpenAI CLIP: Build and Deploy with Docker Building on FastAPI Foundations Whatβs Next? What Is OpenAI CLIP? How OpenAI CLIP Works: Understanding Text-Image Matching and Contrastive Learning Contrastive Pre-Training: Aligning Text and Image Embeddings Sharedβ¦...
π·οΈ #AIApplications #DockerDeployment #FastAPIDevelopment #MachineLearning #Tutorial
π Table of Contents FastAPI Meets OpenAI CLIP: Build and Deploy with Docker Building on FastAPI Foundations Whatβs Next? What Is OpenAI CLIP? How OpenAI CLIP Works: Understanding Text-Image Matching and Contrastive Learning Contrastive Pre-Training: Aligning Text and Image Embeddings Sharedβ¦...
π·οΈ #AIApplications #DockerDeployment #FastAPIDevelopment #MachineLearning #Tutorial
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β¨ Introduction to Gradio for Building Interactive Applications β¨
π Table of Contents Introduction to Gradio for Building Interactive Applications What Is Gradio? High-Impact Projects Powered by Gradio AUTOMATIC1111βs Stable Diffusion Web UI oobaboogaβs Text Generation Web UI The Next Generation of Gradio: Whatβs New in Version 5 Performance Improvementsβ¦...
π·οΈ #Gradio #MachineLearning #Python #SoftwareDevelopment #Tutorial
π Table of Contents Introduction to Gradio for Building Interactive Applications What Is Gradio? High-Impact Projects Powered by Gradio AUTOMATIC1111βs Stable Diffusion Web UI oobaboogaβs Text Generation Web UI The Next Generation of Gradio: Whatβs New in Version 5 Performance Improvementsβ¦...
π·οΈ #Gradio #MachineLearning #Python #SoftwareDevelopment #Tutorial
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β¨ Implementing Approximate Nearest Neighbor Search with KD-Trees β¨
π 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...
π·οΈ #ApproximateNearestNeighbor #KDTree #MachineLearning #NearestNeighborAlgorithm #Tutorial
π 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...
π·οΈ #ApproximateNearestNeighbor #KDTree #MachineLearning #NearestNeighborAlgorithm #Tutorial
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β¨ Object Tracking with YOLOv8 and Python β¨
π 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...
π·οΈ #AdvancedComputerVision #DataScience #DeepLearning #MachineLearning #ObjectDetection #ObjectTracking #ProgrammingTutorials #Tutorial #VideoObjectTracking #YOLO
π 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...
π·οΈ #AdvancedComputerVision #DataScience #DeepLearning #MachineLearning #ObjectDetection #ObjectTracking #ProgrammingTutorials #Tutorial #VideoObjectTracking #YOLO