mushfek
Graduate Student @ UCalgary CS | InfoSec Researcher | System Architect | Ex Senior SWE @ Therap Services
University of CalgaryCalgary, AB, Canada
Pinned Repositories
google-interview-university
A complete daily plan for studying to become a Google software engineer.
openj9_dev
mushfek's Repositories
mushfek/google-interview-university
A complete daily plan for studying to become a Google software engineer.
mushfek/openj9_dev
mushfek/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
mushfek/bloom-filter-iris-indexing
Reference implementation for Bloom filter-based iris indexing.
mushfek/compiler-lab-assignments
mushfek/distributed-file-system
mushfek/Fingerprint-Recognition
Fingerprint identification using machine learning and deep learning
mushfek/Fingerprint-recognition-1
Use deep learning to perform fingerprint recognition
mushfek/frequent-pattern-mining
mushfek/huffman-compression
mushfek/interval-tree
A fork-ish repository containing the code for only Interval Tree from Stanford Core NLP
mushfek/Iris-recognition-based-on-Gabor-and-Deep-Convolutional-Networks
Nowadays, authorizing a person has become a significant need. Authorizing a person based on their behavioral or characteristic traits such as fingerprint, iris, face, etc. has brought in a lot of secure feelings in society. In our work, we present Iris-based Biometric systems that have been considered the most secure and accurate form of identifying an individual because of their unique features and textual richness present in them. In our work, we proposed two modified feature extraction techniques namely Convolutional Neural Networks (CNN) and Gabor filter, and then performed different classification algorithms namely SVM (Support Vector Machine) and Neural Networks (NN), and analyzed the change in accuracies affected by the features extracted from the two different techniques and finally landed with the best combination of CNN-NN with the accuracy of 98%. The CASIA Version 1 benchmark database has been used to perform our experiments for both testing and comparison.
mushfek/Iris-Recognition-CASIA-Iris-Thousand
mushfek/keras-data
Some sample data for playing around with Keras and other ML APIs
mushfek/machine-learning-systems-design
A booklet on machine learning systems design with exercises
mushfek/MinutiaeNet
Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biometrics (ICB) 2018
mushfek/mock-api
mushfek/Multimodal-Biometrics
Secure authentication system using fusion algorithm. Features of multiple biometrics are fused using deep learning techniques in order to make a robust authentication system.
mushfek/Multimodal_Biometrics
Multimodal_Biometric system that uses face iris and ecg.
mushfek/mushfek.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
mushfek/national-hackathon-2014
mushfek/openj9_demo
mushfek/os-assignments
mushfek/os-tutorial
How to create an OS from scratch
mushfek/smartcontacts
mushfek/stronglink
A searchable, syncable, content-addressable notetaking system
mushfek/system-programming
mushfek/system_design
Preparation links and resources for system design questions
mushfek/xml-parser-demo
Simple toy project to test out three most prominent XML parsers (e.g. DOM, SAX and VDT-XML)
mushfek/You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.