Converts github compliant markdown files into pdf with mermaid diagrams rendered

This is a space where I am learning prompt engineering.

Calculates the pointwise mutual information and Chi-square values to determine if two words are collocations

Script that segments some high dimension physiological data that is too big to fit into memory at once

Trains several classifiers on a dataset obtained from Reddit. Features inclue unigrams, bigrams, trigrams, and word embeddings. Word embeddings obtained via pretrained word2vec model.

Hidden Markov Model implementation of the Forward Algorithm. A robot senses it's enviornment and determine's where it is inside a maze.

Summarizes Product Reviews. Uses Word2Vec to get word embeddings

Using Naive Bayes, and an annotated corpus, this program learns the correct word sense for given words and makes predictions about words in the testing set.

This program is an implementation of the Viterbi Hidden Markov Model.

Extracts features near occurences of '.' characters to determine if a '.' is used to end a sentence vs something like an abbreviation