The code for our newly accepted paper in MICCAI 2023: "Instructive Feature Enhancement for Dichotomous Medical Image Segmentation."

This is the official implementation of the paper namely Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveillance Video.

Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints (ECFPs)

A wordle solver by maximizing information gain vs playing heuristically with character frequencies

This is an application designed in HTML5/Javascript of a scanner that makes a comparison between two methods, namely between Shanon entropy (Information entropy) and self-sequence alignment (Information content). Information entropy (IE) and Information content (IC) are two methods that quantitatively measure information.

Experimental classification algorithms on german credit data implemented using scikit-learn library

A small suite of functions for calculating information entropy based measurements.

词典（dict），正向最⼤匹配（forward maximum matching），逆向最⼤匹配（backward maximum matching），信息熵（information entropy）。

A game-dynamics-aware Hangman solver leveraging fine-tuned BERT, weighted N-grams, and information entropy. Achieves a 74.4% success rate on a disjoint dataset.

A sensitivity toolbox that is tailored to the design process in the presence of uncertainties

Entropy-Optimized Wordle Solver inspired by 3Blue1Brown's Modern Information Theory Video.

decision trees made easy

This is a Decision Tree implementation with Python which uses information gain to split attributes. It does not use any ML library.

Code developed for CSE 515 Multimedia Web Databases