mushfek Goto Github PK

acm-icpc

ACM International Collegiate Programming Contest

alg_design

Java implementations of algorithms and structures from "Algorithm Design" by Kleinberg and Tardos.

android-upload-service

Android library that provides an easy to use service to upload files with Android Notification Center integration

angularjs-learning

A bunch of links to blog posts, articles, videos, etc for learning AngularJS

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

bloom-filter-iris-indexing

Reference implementation for Bloom filter-based iris indexing.

compiler-lab-assignments

coursera-android

Source Code for Android Course Example Applications

discrete-optimization-001

Coursera Discrete Optimization course programming assignments source code

distributed-file-system

dogsandhumans

eemealplanner

fingerprint-recognition

Fingerprint identification using machine learning and deep learning

fingerprint-recognition-1

Use deep learning to perform fingerprint recognition

fizzbuzzenterpriseedition

FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by a serious businessman for serious business purposes.

frequent-pattern-mining

google-interview-university

A complete daily plan for studying to become a Google software engineer.

hackmysql.com

Deprecated tools from HackMySQL.com

head-first-iphone-ipad-development-3rd-edition

Latest code that accompanies Head First iPhone and iPad Development 3rd Edition.

huffman-compression

interval-tree

A fork-ish repository containing the code for only Interval Tree from Stanford Core NLP

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.

iris-recognition-casia-iris-thousand

javafest-gradle-webiner

Materials (source codes, presentation etc) used in Therap Javafest 2014 webiner on build system

javafest-webservice-webiner

Materials (source codes, presentation etc) used in Therap Javafest 2014 webiner on RESTful API design

jdbc-sniffer

JDBC Sniffer

jee6bootproject

JEE 6 Boot Project with Gradle Build

jerry-mouse

A Simple HTTP Server

keras-data

Some sample data for playing around with Keras and other ML APIs

lenskit

LensKit recommender toolkit.