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ML@IUL is a class-project of the Machine Learning (ML) course at DCTI (Department of Computer Science and Technology), IUL (ISCTE - Lisbon University Institute). The objective is to create an ML library from student assignments.
The STAIR Vision Library (SVL), originally developed to support the STanford AI Robot, provides software infrastructure for computer vision, machine learning, and probabilistic graphical models.
Medical Datasets (In a text file, with space separated values) can be loaded to the system.
By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
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This was my final project for MIT's Junction computer science class. It is written in Python, and can always be updated with more words! Its just code, so it needs to be run with Python(2.7 recommended).
Mini Gosix is a small program that allows you to play Gosix board game (by Pierre Canuel) against a computer opponent. There are selectable difficulty levels and GUI. Program is written in OCaml using TK widgets.
A photo gallery management system based on hand gesture recognition. You must make three color markers by yourself, which the red one on index of the right hand, the green one on thumb of the right hand and the blue one on index of the left hand.
A Computer vision tracking filter for Avisynth. Allows cropping to follow Object of interest. You can watch a small demo at http://www.youtube.com/watch?v=SQ-JtJs7US0
The Vision Analysis Toolkit provides a framework for the development of computer vision algorithms using arbitrary named channel containers, flexible data types, and 1/2/3-D buffers.
A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2).
Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information).
JNOMO is a Jean Plugin for providing more expresiveness in its rule language. This plugin allows for retracting or priorizing rules, removing facts as a rule consecuence or even asking for the "unspecified" information into Knowledge Base.
This project has been renamed to oooark. Old file releases will still be available here. uvsim is a project focused on enabling algorithm development for unmanned systems. It is being constructed to provide an identical interface to simulations and h
The files contained in this distribution implement a computer vision system for the classification and interpretation of flag semaphore signals. Optionally, the message can be used to send and receive TCP/IP packets using the RFC 4824 protocol.
The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.
A unique natural-language processing software, called Discovery, created on the CA Visual Objects/Vulcan.NET environment, which also has potential for effective "shallow approach" machine translation.
Solving problems of counting the number of vehicles passing on a road during an interval time, as well as the problems of vehicles classification and estimating the speed of the observed traffic flow from traffic scenes acquired by a camera in real-time.
The CVR-Lib (Computer Vision and Robotics Library) is a C++ object oriented library for computer vision. It provides lots of functionality to solve mathematical problems, many image processing and analysis algorithms, classification tools, and much more.
A system for playing chess with a computer player using a real chess board. An experiment in learning the techniques of Computer Vision and having fun in the process.
OCR c++ library of computer optical recognition methods. In library: contour recognition; contour vectorisation; matrix letters feature recognition; web based GUI; assembler core on SS3 instruction; xml support; detect page rotation and segmentation;
Computer System for Adaptive Intelligent Life :: seeks to create a software system that is capable of learning. The project's ultimate goal is to further the ability of software to both adapt to individual users, and to respond their needs.