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The Tensor Voting Framework is a powerful technique for perceptual grouping, manifold learning, etc. It has proved to be a useful tool in the Computer Vision community. OpenTVF is an open source implementation of TVF.
cgfreak is a control group visualization and manipulation tool written i Python and using PyGTK and PyCairo as backend. The idea is to help in understanding and clarifying how Linux control groups work.
MLboost: Machine Learning boost library in Python. MLboost main goal is to speedup any Machine Learning projects by simplifying data preprocessing, features selection and data visualisation. Design by Machine Learning practitioners to let them do ML...;)
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.
Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
WARNING: rgdal is only available for download from CRAN - this repository no longer used for development. NEVER use the very out of date file bundles for download from this site!!! See http://cran.r-project.org/web/packages/rgdal/index.html.
Ex-Crawler is divided into 3 subprojects (Crawler Daemon, distributed gui Client, (web) search engine) which together provide a flexible and powerful search engine supporting distributed computing. More informations: http://ex-crawler.sourceforge.net
With the "xix" library, GATE functionality is available in XQuery (via an MXQuery extension). OpenCalais invocation is supported, too. -- Source code at http://sgv-jenkins-01.ethz.ch/job/xixlib/ws/-- "Show project details" for instruction
Surface Defects Analyzer is the project of control system implementation which is used for detecting and measurement of geometric parameters of surface defects based on stereo images processing.
OptFlow is a C++ -based library for motion detection. It implements the classical Lucas-Kanade algorithm and a more advanced algorithm by Proesmans et.al. Several warping and morphing methods using the computed motion fields are also implemented.
Scripts for parsing and general use in Computer Forensics - Octane Lab
O projeto Byte Investigator do Octane Labs nasceu com a finalidade de se ter um kit de ferramentas (scripts perl) de parsing de varias estruturas do ambiente Windows (arquivos e estruturas dos file systems). Estas ferramentas poderão ser utilizadas no cotidiano dos profissionais e pesquisadores de segurança nas tratativas de resposta a incidentes de Segurança de Informação e Computação Forense. A técnica de parser ou parsing consiste em usar um programa que detalhe as informações contidas em...
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 proof-of-concept application of the Statistical Protocol IDentification (SPID) algorithm. SPID can detect the application layer protocol (layer 7) by analysing flow (packet sizes etc.) and payload statistics (byte values etc.) from pcap files.
This project is a compilation of tools/libraries to help with tasks related to Text Analytics mainly in Java. These tools range from simple wrappers to sophisticated mining tasks that can improve the productivity of researchers and engineers.
The project is aiming to do two things: track the total transit time it takes a news story to travel from site A to site Z across the net and we'll be indexing the content of the article at each hop and tracking the morphing of the content as it goes
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 Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.