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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Learn to process and visualize 3D data using Open3D library. Explore point clouds, meshes, and 3D models. Hands-on tutorial covers installation, folder structure, and voxel downsampling techniques.
Dive into scaled dot-product attention mechanics in Transformers, learning step-by-step calculation of attention scores, Q/K/V matrices, and softmax normalization for context-aware representations.
Dive into Transformer encoder architecture with step-by-step explanations of self-attention, multi-head attention, and feed-forward networks, connecting mathematical concepts to intuitive understanding.
Discover how Clawdbot (OpenClaw) functions as an AI agent that performs real tasks, connecting with WhatsApp, Gmail, browsers & more through automation skills and tools.
Dive into Transformer decoder mechanics: masked self-attention, cross-attention, token generation, and the mathematical intuition behind text generation one token at a time.
Explore YOLO26's edge-optimized architecture featuring NMS-free inference, anchor-free detection, and deployment improvements for Jetson, mobile, and embedded devices.
Dive into Transformer encoder mechanics, self-attention, and Q-K-V matrices with step-by-step explanations of embeddings, positional encoding, and multi-head attention fundamentals.
Discover how to build an AI-powered traffic analysis system using real-time object detection and tracking to count vehicles and generate automated reports.
Master OpenClaw AI agent integration with WhatsApp and execute custom skills locally for powerful automation pipelines and real-time assistants.
Grasp the mathematical foundations of Large Language Models through probability theory, autoregressive modeling, and next-token prediction using practical examples.
Master autonomous AI systems from fundamentals to multi-agent workflows using LangChain, LangGraph, and CrewAI with hands-on projects and real-world applications.
Discover how to build AI-powered applications using LangChain, LangGraph, and cutting-edge frameworks through hands-on tutorials covering chatbots, agents, and real-world projects.
Master GANs from fundamentals to advanced models like StyleGAN and CycleGAN with hands-on implementation tutorials for image generation and computer vision projects.
Explore how Transformer models revolutionize computer vision tasks through Vision Transformers, image classification, object detection, and hybrid architectures with hands-on PyTorch implementations.
Discover how to develop AI applications on NVIDIA Jetson Nano, from setup and camera configuration to running YOLO models and creating custom neural networks for edge AI projects.
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