rahular/android-eye-tracker
A simple eye tracker for Android
Developer Profile
rahular
Discovered public repositories for rahular in the GitHub catalog.
rahular/ZxingDemo
A simple demo app which reads QR codes and displays it's content
rahular/2048
Port of Gabriele Cirulli's 2048 to Android (https://github.com/gabrielecirulli/2048)
rahular/neuroph
Neuroph clone with Eclipse compatibility
rahular/deep-learning
Public repository.
rahular/chess-misc
Misc tools for rStock
rahular/2LC
2 Layer Chess
rahular/rStock
This project modifies Stockfish and plugs in a neural evaluation function and a companion trainer for purely academic purposes. I thank Andrey Kotlarski without whose BPN, this project would be a lot harder to implement.
rahular/GPSLogger
A slightly modified version of GPSLogger (https://code.google.com/p/gpslogger/) with a polished GUI
rahular/Magnetic-carrom
In the unique game of magnetic carom, the coins are magnetized using powerful magnets. The ultimate goal of the project is to build an AI player which can play the game on it’s own. The main premise of the project is to explore the problem of simulation under uncertainity. Since the magnets can be oriented in many ways, the resultant field can make the coins move unpredictably. A simulator for this setup was built successfully which calculated the fields around the coins and predict the state of the board when the perticular strike was made.
rahular/CBTM
This is an assignment done as part of a course of 'Programming Application Software'. The application contains 2 modules with which a simple online test can be conducted.
rahular/rStockTrainer
This is the trainer module for the rStock engine. It trains a new or exisitng NN and saves it future use. We can also test the trained network and find the sqaured error for a perticular training set. Also, the number of training threads and epochs can be set according to needs.
rahular/PhoneAuth
An Android application built for additional authentication and user verification. The app when installed on the user’s mobile, automatically performs a handshake with a pre-registered computer as and when it comes into Bluetooth range and identifies itself using the IMEI and MAC of the device. Thus, it can uniquely identify the user using his/her mobile device. This is built as a layer on top of the usual username-password protection system (using the Linux PAM APIs). This process happens periodically which means that if the user is not in the vicinity of the computer, it is immediately locked.
rahular/CriminalTracker
A smart tracker which uses GPS data to predict path trajectories of potential criminals. Won the IBM iCare challenge in 2014.
rahular/TicTacToe
The classic game as a testbed for AI players
rahular/BasicSearch
A simple search engine written in Python to acclimatize myself with various concepts such as k-gram indexing, stemming, etc