center loss for face recognition
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Updated
Nov 11, 2020 - Python
center loss for face recognition
Measure and visualize machine learning model performance without the usual boilerplate.
PyTorch-Based Evaluation Tool for Co-Saliency Detection
Machine learning utility functions and classes.
Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.
calculate ROC curve and find threshold for given accuracy
Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks
Tool demonstrating building credit risk models
A simple neural network with backpropagation used to recognize ASCII coded characters
Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.
Predicting the volcanic eruption using ML Algorithms.
One Data Set with All Algorithms
Assignments of the course
Develop a heart disease prediction system that can assist medical professionals in predicting heart disease status based on the clinical data of patients.
Advanced Machine Learning
This project used machine learning to understand characteristics of terrorist groups that engage in suicide bombings.
simple script for plotting precision recall curves
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