Semantic segmentation solution for Airbus Challenge Task
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Updated
Jun 27, 2023 - Jupyter Notebook
Semantic segmentation solution for Airbus Challenge Task
Example of brain tumor segmentation.
Natural Language Processing (classification and machine translation) codes and analysis done for the year long practicum in Dublin City University (2019-20)
A routine for assigning spam probability to a given set of text messages by comparing each text to the rest of the corpus, checking the frequency of spam and non-spam messages in the corpus. The probability is ranged from 0 to 1, where 0 is no spam and 1 is certain spam.
U-Net from Scratch for Brain Tumor Segmentation
The Dice Coefficient Is Scale Sensitive, Mathematical Proof.
Data Structures: Arrays, Stacks, Queues, Graphs applications in image processing, tag parsing and routes/maps respectively.
Go implementation of Dice coefficient to find similarity between two strings.
deep learning : segmentation d'images
Compare the sameness of two strings
Finds degree of similarity between two strings, based on Dice's Coefficient and Levenshtein Distance.
A movie recommender written in Go that suggests movies considering various factors within a particular dataset, encompassing users, movies, and movie ratings.
lightweight npm package to calculate string similarity
Imaging Coursework: Non-Deep-Learning Segmentation of Pap Smear Images
Similarity Clustering of HashTags
String similarity ranking for Vim's CtrlP fuzzy file finder.
Face detection using convolutional neural networks
Cloud Type Detection with Segmentation using CNN (Segmentation Models)
Finds degree of similarity between two strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.
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