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
https://t.iss.one/DataScienceMβ
#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
π€π§ ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes
ποΈ 11 Oct 2025
π AI News & Trends
Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMAβs architecture, technical capabilities, practical ...
#AI #MachineLearning #MultiAgentSystems #ArtificialIntelligence #HighPerformance #ROMA
ποΈ 11 Oct 2025
π AI News & Trends
Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMAβs architecture, technical capabilities, practical ...
#AI #MachineLearning #MultiAgentSystems #ArtificialIntelligence #HighPerformance #ROMA
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π€π§ The Little Book of Deep Learning β A Complete Summary and Chapter-Wise Overview
ποΈ 08 Oct 2025
π AI News & Trends
In the ever-evolving world of Artificial Intelligence, deep learning continues to be the driving force behind breakthroughs in computer vision, speech recognition and natural language processing. For those seeking a clear, structured and accessible guide to understanding how deep learning really works, βThe Little Book of Deep Learningβ by FranΓ§ois Fleuret is a gem. This ...
#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides # FrancoisFleuret
ποΈ 08 Oct 2025
π AI News & Trends
In the ever-evolving world of Artificial Intelligence, deep learning continues to be the driving force behind breakthroughs in computer vision, speech recognition and natural language processing. For those seeking a clear, structured and accessible guide to understanding how deep learning really works, βThe Little Book of Deep Learningβ by FranΓ§ois Fleuret is a gem. This ...
#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides # FrancoisFleuret
π€π§ Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs
ποΈ 08 Oct 2025
π AI News & Trends
In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate todayβs AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...
#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides
ποΈ 08 Oct 2025
π AI News & Trends
In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate todayβs AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...
#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides
π€π§ How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs
ποΈ 11 Oct 2025
π AI News & Trends
Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...
#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization
ποΈ 11 Oct 2025
π AI News & Trends
Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...
#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization
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