dice-coefficient

Finds degree of similarity between two strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.

3D U-Net model for volumetric semantic segmentation written in pytorch

Go metrics for calculating string similarity and other string utility functions

Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

A fuzzy matching string distance library for Scala and Java that includes Levenshtein distance, Jaro distance, Jaro-Winkler distance, Dice coefficient, N-Gram similarity, Cosine similarity, Jaccard similarity, Longest common subsequence, Hamming distance, and more..

Loss function Package Tensorflow Keras PyTOrch

string similarity based on Dice's coefficient in go

Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

This Repo is for implementation of 3D unet in Tensorflow 2.0v

This was my research project at IIT Bombay on Lung Segmentation from Chest X-Rays Images

Image Segmentation using U-Net, U-Net with skip connections and M-Net architectures

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

String similarity ranking for Vim's CtrlP fuzzy file finder.

An image segmentation project using PyTorch to segment the Left Atrium in 3D Late gadolinium enhanced - cardiac MR images of the human heart.

ML/CNN Evaluation Metrics Package

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

Compare the sameness of two strings

Finds degree of similarity between two strings, based on Dice's Coefficient and Levenshtein Distance.

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.

U-Net from Scratch for Brain Tumor Segmentation