Imesh Ekanayake's repositories
cepdnaclk.github.io
Github pages website for Department of Computer Engineering, University of Peradeniya
codeBase
This repository is to store useful algorithms which are used frequently and to study them
Credit-approval-Prediction
Sem 6 ML project (credit approval prediction)
Data-Science--Cheat-Sheet
Cheat Sheets
e15-4yp-Explainable-Machine-Learning-for-Real-World-Resource-Constrained-Problems
Machine Learning (ML) has contributed to many advances in science and technology, recently the applications in high-stake decision-making has been increased. The ability to build statistically complex relationships between data and outcomes, without explicitly programming the rules makes it popular among the computerized decision-making community. The state-of-the-art models which performer well, are more complex and inexplicable. On the contrary, in high-stakes settings as healthcare, finance, and criminal justice, have strict ethical concerns which lead to explain each decision or the model in whole. Moreover, there it is necessary to ensure the fairness of the decisions and the transparency to avoid wrongful rationality. Furthermore the acts like General Data Protection Regulation (GDPR) and Personal Data Protection Act (PDPA) makes it mandatory to explain the decisions made based on statistical relationships and gave a right for users to demand an explanation.
Fair-and-Transparent-Machine-Learning
Fair and Transparent Machine Learning for Applications with Direct Social Impact : A Final Year project of Faculty of Engineering University of Peradeniya
Fair_Datasets
Datasets Collection for Fair ML
kits19
The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge
PeraRide-Bike-Shareing-
A Bike Sharing System
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
triage
General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems