Table of Contents Introduction to Gradio for Building Interactive Applications What Is Gradio? High-Impact Projects Powered by Gradio AUTOMATIC1111’s Stable Diffusion Web UI oobabooga’s Text Generation Web UI The Next Generation of Gradio: What’s New in Version 5 Performance Improvements…

Table of Contents Approximate Nearest Neighbor with Locality Sensitive Hashing (LSH) What Is Locality Sensitive Hashing (LSH)? Mathematical Foundation of LSH How LSH Works SimHash: LSH for Vector Databases Random Projection Computing Binary Fingerprint Creating Hash Table Mathematical Trade-Off Querying…

Table of Contents Anomaly Detection: How to Find Outliers Using the Grubbs Test What Is an Outlier? How to Find Outliers with Grubbs Test Formulating the Hypotheses Null Hypothesis Alternative Hypothesis Calculate the Test Statistic Determining the Critical Value with…

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 the Best Estimate…

Table of Contents PNG Image to STL Converter in Python Why Convert a PNG to STL? Set Up Your Environment to Convert PNG to STL Importing Libraries for PNG to STL Conversion Setting Up the Device Upload and Prepare the…

Table of Contents 3D Gaussian Splatting vs NeRF: The End Game of 3D Reconstruction? Block A — Initialization: SfM to Gaussian Splatting Block B — Rasterization Block C — Optimization Example: Gaussian Splatting in Self-Driving Cars Summary 3D Gaussian Splatting…

Table of Contents Build a Network Intrusion Detection System with Variational Autoencoders Understanding Network Intrusion and the Role of Anomaly Detection What Is Network Intrusion? Importance and Necessity for Advanced IDS Autoencoders for Anomaly Detection What Are Autoencoders? Autoencoders as…

Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Applications of Anomaly Detection Types of Anomaly Detection Problems Point Anomalies Contextual Anomalies Collective Anomalies Algorithms for Anomaly Detection…

Table of Contents How to Use ‘tf.GradientTape’ Configuring Your Development Environment Introduction What Is tf.GradienTape? Simple Example of tf.GradienTape Image Classification with the COCO Dataset Prepare the Dataset Define the Model Train the Model Using model.fit Custom Training Loop with…