3D U-Net model for volumetric semantic segmentation written in pytorch
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Updated
May 27, 2024 - Jupyter Notebook
3D U-Net model for volumetric semantic segmentation written in pytorch
Golang metrics for calculating string similarity and other string utility functions
A movie recommender written in Go that suggests movies considering various factors within a particular dataset, encompassing users, movies, and movie ratings.
Similarity Clustering of HashTags
Compare the sameness of two strings
lightweight npm package to calculate string similarity
Finds degree of similarity between two strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.
Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.
Example of brain tumor segmentation.
String similarity ranking for Vim's CtrlP fuzzy file finder.
Loss function Package Tensorflow Keras PyTOrch
Semantic segmentation solution for Airbus Challenge Task
Finds degree of similarity between two strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.
Data Structures: Arrays, Stacks, Queues, Graphs applications in image processing, tag parsing and routes/maps respectively.
deep learning : segmentation d'images
This is a project that put in a sample resume then extract the skills, and then use those skills to find the best matches in the resume dataset.
ML/CNN Evaluation Metrics Package
Go implementation of Dice coefficient to find similarity between two strings.
The Dice Coefficient Is Scale Sensitive, Mathematical Proof.
U-Net from Scratch for Brain Tumor Segmentation
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