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bayeisannetworkinference

This project implements both exact and approximate inference techniques for Bayesian Networks using enumeration and rejection sampling, respectively. It processes Bayesian Network structures in XMLBIF format, accepting command-line inputs to compute the posterior distribution of a query variable given observed evidence.

colors

harrypotterbooks

huffmancoding

The provided Java code defines a HuffmanSubmit class that implements the Huffman coding algorithm for file compression and decompression. It includes methods for building the Huffman tree, encoding characters, writing the tree and encoded data to files, and decoding the compressed files.

letswatchmovies

Let'sWatchTV is an application for exploring movies, pulling data from APIs for upcoming and top-rated movies and a local JSON file for popular movies. It features a home screen with navigation options, detailed movie information, notepad functionality, and settings to toggle API access and animations.

logisticregressiontraining

This project involves training a machine learning model and plotting its learning curves to analyze training and testing accuracies, utilizing Java for model execution and Python for data visualization. It includes commands for compiling and running the Java program, generating plots, and sending results via email.

memegenerator

streetmap

This project uses graph theory to represent and navigate maps, providing a graphical user interface for visualization and employing Dijkstra's algorithm for finding the shortest paths between intersections. It supports map visualization, pathfinding, and interactive navigation through a command-line application and Swing-based interface.

udn_newsscrapper_gpt_categorizer

This project automates the scraping of news articles from the United Daily News (UDN) website, filters and processes them using specified keywords and OpenAI's GPT for Named Entity Recognition (NER), and exports the categorized data into a CSV file.