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Learn to use Open3D to read, write, visualize, crop, color, and downsample 3D point clouds and meshes.
Master object detection with YOLO, R-CNN, and SSD through hands-on Python implementations, custom datasets, and real-world applications like traffic signs and disease detection.
Implement custom object detection using YOLO11, from dataset preparation to model training and inference, with step-by-step guidance.
Perform instance segmentation on custom datasets using YOLO11, focusing on brain tumor detection with step-by-step guidance and resources.
Master real-time vehicle detection and tracking using YOLO11, implementing class-wise counting with BoT-SORT and ByteTrack algorithms for traffic analysis and smart city applications.
Dive into Vision Transformers (ViTs), exploring core concepts like linear projection, multihead attention layers, and patch embedding in a beginner-friendly, comprehensive walkthrough.
Learn cutting-edge object detection, segmentation, pose estimation, and image classification using YOLO11. Master state-of-the-art techniques for fast, accurate, and flexible computer vision tasks.
Explore Meta AI's advanced image and video segmentation model SAM 2, its capabilities, and implementation for zero-shot object segmentation tasks.
Step-by-step guide to building a Q&A application using RAG, LangChain, and open-source LLMs. Learn to create a sophisticated system leveraging cutting-edge AI technology for efficient question answering.
Learn to create an intelligent Q&A app using Retrieval-Augmented Generation, Gemini Pro, and LangChain. Master advanced retrieval techniques to enhance chatbot performance and build a powerful AI-driven application.
Explore Retrieval-Augmented Generation (RAG): theory, components, and practical implementation. Enhance AI models' capabilities with this comprehensive overview for beginners and enthusiasts alike.
Learn to interact with MySQL databases using LangChain and LLMs. Create an app that translates English inputs into SQL queries, retrieves data, and presents results.
Discover Agno's lightweight multimodal AI framework - build agents in microseconds with just 6.5 KiB per agent, handling text, images, audio & video for real-world applications.
Grasp the mathematical foundations of Large Language Models through probability theory, autoregressive modeling, and next-token prediction using practical examples.
Discover how to build a Mini GPT language model from scratch using PyTorch with step-by-step guidance on tokenization, architecture, training, and predictions for beginners.
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