I want to train a Siamese Network to compare vectors for similarity. My dataset consist of pairs of vectors and a target column with "1" if they are the same an
I have a lot of images in a folder that I would like to put in order based on how similar they are. The images are histological slides from a tissue microarray
How do I get the probability of a string being similar to another string in Python? I want to get a decimal value like 0.9 (meaning 90%) etc. Preferably with s
I am trying to create matrices for cosine and euclidean distances of a document. not too sure how I would approach this question. Any advice would be appreciate
Background Users can type in a name and the system should match the text, even if the either the user input or the database field contains accented (UTF-8) cha
Given 2 strings s and t. I need to find for each substring in s edit distance(Levenshtein distance) to t. Actually I need to know for each i position in s what