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linkedin-scraper

Scrapes the public profile of the linkedin page

linux

Linux kernel source tree

litecoin-python

A find/replaced repo of bitcoin-python

local-texture-descriptors

Matlab implementation, comparision and improvement of Local texture descriptors. This repo demonstrate usage of Local binary pattern (LBP), Local derivative pattern (LDP), Local Tetra pattern (LTrP), Noise Resistant LBP (NR-LBP), Histogram Refinement of Local texture descriptor for Content based image retrieval (CBIR) application.

lpcc-speech-recognition

Speech recognition using Linear Predictive Cepstral Coefficients and Dynamic Time Wrapping algorithm.

lunaproject

Responsive Wordpress theme based on (Bootstrap) DevDmBootstrap3.

lung-cancer-detection

This is a lung cancer detection system powered by image processing technology

lung-cancer-detection-1

lung-cancer-detection-2

lung-cancer-detection-using-revims

Calculating the volume of Lung Cancer Nodule

lung-nodule-detection

Lung cancer detection by image segmentation using MATLAB

lunganalayis-tumorfinder

Program designed to look at X-ray images of Lungs, to analyse and identify tumors. Developed in Matlab, uses custom filter and threshold finding

lungcancerdetection

This project presents the better Computer Aided Diagnosing (CAD) system for automatic detection of lung cancer. The initial process is lung region detection by applying basic image processing techniques such as Bit-Plane Slicing, Erosion, Median Filter, Dilation, Outlining, Lung Border Extraction and Flood-Fill algorithms to the CT scan images. After the lung region is detected, the segmentation is carried out with the help of Mean Shift clustering algorithm. With these, the features are extracted and the diagnosis rules are generated. These rules are then used for learning with the help of Random Forest. The experimentation is performed with 15, 000 images obtained from the kaggle contest. The experimental result shows that the proposed CAD system can able to tell the posterior probability of lung cancer for a patient based on the detection algorithm. Also the usage of Random Forest will increase the accuracy of detecting the cancer nodules.

lungcancerdetectionsystem

To use Deep NN to identify lung nodules from a CT scan data and to predict if it is Malignant or benign

lungs-cancer-detection

This is an Revolutionary project developed on Matlab

matconvnet

MatConvNet: CNNs for MATLAB

mathematical-image-processing

Implementations and examples of basic mathematical image processing algorithms. Based on the lectures "Mathematical Foundations of Image Processing" and "Variational Methods in Image Processing" by Prof. Berkels.

matlab_htk

MATLAB functions that interface with the HTK Speech Recognition Toolkit (http://htk.eng.cam.ac.uk/) for training HMMs, GMMs and simple speech recognizers.

matlabpyrtools

MatLab tools for multi-scale image processing, including Laplacian pyramids, Wavelets, and Steerable Pyramids

matreshka

Matreshka.js framework

mct

Open MCT has moved to https://github.com/nasa/openmct and is now a web application. The desktop version is retained here for posterity.

mise-en-place

WordPress twentyeleven child theme that I use as a boilerplate for new sites. Updated based on front end best practices, borrowed from projects such as normalize.css and html5bp.

ml.howtocode.com.bd

বাংলায় মেশিন লার্নিং http://ml.howtocode.com.bd

mlproject_facerecognition2

In this project, following feature extraction methods and SVM based classifiers are used for recognizing human faces under different facial expressions, pose and illumination:  Linear and kernel SVM  PCA followed by linear and kernel SVM  LDA followed by linear and kernel SVM

modular-python-bitcoin-miner

moneywagon

Universal bitcoin/altcoin blockchain client library for Python and the command line

mop

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

mym-android

Match Your Market (Mym) Introduction The application is a game called “Match Your Market” (Mym). The game is divided into two parts where the user is given a Virtual Share Market to get a feel of functioning of trading and a Quiz part to enrich his know how about the various technicalities related to trading. He is provided with an environment which emulates a market and allowed to perform basic functions such as buy and sell shares of a particular company which is enlisted. The aim is to familiarize a person to the environment of the share market in a fun way where he can get a sense of how the market functions. The player should aim to maximize his profits to end up on top of the leader board and claim the title of “The Richest Man Alive”. This drives the player to make calculated and smart decisions in order to make it to the top. The Quiz part of the game is to help the player understand about various things related to the world of trading. Through the Quiz the player stands to earn money to be used to trade in “The Market”. The objective of the Quiz is to create awareness and educate the player about the terminologies and other basics related to share market. Application Components Splash Screen: The splash screen consists of the application name being displayed whilst the application is loading. Menu: The user can pull out the menu panel by performing the swipe motion from the extreme right part of the screen to the left or by performing the touch gesture on the “Mym” logo. The Menu consists of 6 sections:     Quiz: This section takes the user to the Quiz part of the game. The basic aim of the quiz is to help the players get familiar to the world of trading. The quiz is a medium for the players to generate money to be used in “The Market” part of the application. The Quiz can be attended at any time and the user can increase his capital using the Quiz. The Market: This section is the Virtual market presented to the user. The virtual market is created to give a feel of how the market operates and what are the basic operations that take place in the market. Each session of “The Market” lasts for an hour. The moment the user starts “The Market” that particular session lasts for an hour and after that the market closes for that session. Stock Status: This section shows the players the status of the stock when the market is closed. My Shares: This section is an account of all the shares purchased by the user. Here the user can find how much money he has invested in a particular company and the amount of shares he holds. 1    Leaderboard: This section is used to introduce competitiveness among the users. The person with the maximum money in hand leads the board. This will encourage the players to use the application more in order to obtain the coveted title of “The Richest Man Alive”, which is given to the person who leads the table. News: The News section features the latest news related to the market and the financial world. This section will help keep the user up-to-date with the latest happenings and help him enhance his knowledge . Scores: The user can score from both the Quiz part and the market part of the game.  Quiz-Scoring pattern: The user is awarded Rs.500/- for a correct answer. If the user continues giving the right answers for the succeeding questions then he is given a multiple of the spree as reward for that question. This encourages the users to take the Quiz as an opportunity to redeem themselves in case they run into a low in the Market part.  For Example: Suppose the user answers one question correct he is given Rs.500/-. If he answers the next one correct he is awarded a sum of 2*Rs500/-=Rs.1000/-, for the second question. If he gets 3 in a row the third question will contain a value of 3*Rs500/-=Rs.1500/- and so on.  Market-Scoring Pattern: The user is allowed to use the money he generates from the quiz in the market where he can do the basic operations like buy and sell. The market brings in the entertain quotient to the game where the user stands a chance to make a fortune by making investments. Help: This section gives a detail on the scoring pattern and the goal of the game.

news

:newspaper: News app for ownCloud