Search Results for "algorithm" - Page 53
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Showing 2943 open source projects for "algorithm"
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Extract Objects from Image
Connected Component Labeling Algorithm - Extracting Objects From image
fast Connected Component Labeling Algorithm - java application - Extracting Objects From image -
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide... -
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LiveLoad
Military Load Classification based on GTA 05-07-13
Liveload is a calculator that automates the algorithm used in US Army GTA 05-07-13 to classify military bridges by load capability, or MLC. -
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SpriteBuncher
A free, open-source texture packing program.
SpriteBuncher is a free, open-source texture packing program. It features an easy-to-use graphical interface, and advanced packing algorithms such as MaxRects. Further options include cropping, rotation, extruding, and padding. Data can be exported to a range of common output formats – e.g. Cocos2d, LibGDX, and Unity – or via generic XML, JSON, and plain text files. Examples and documentation are included. Source code available at: https://github.com/bazgt/SpriteBuncher [GPLv3]. -
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The MaxParser is written in c++ and can parse with first, second, third and fourth order projective Graph-based Dependency parsing algorithm. The project is the new version of the project "Max-MSTParser". If you want to use this software for research, please reference this web address in your papers
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pSVA
permuted SVA
...Details about the algorithm and these results are published as Parker et al. (2014) Bioinformatics (http://dx.doi.org/10.1093/bioinformatics/btu375) -
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Mjollnircoin is a decentralized digital currency that enables instant payments to anyone in the world; it is a lite version of Bitcoin using a redundant cryptographic function as a proof-of-work algorithm. Mjollnircoin is a people's currency, intended to be efficiently mined with consumer-grade hardware. It is ultra secure, ASIC resistant, Multipool resistant and rare with a total number of 42 million mjollnircoins
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Infinium-8
CryptoNote based currency. Increasing block reward
Infinium-8 (INF8) is a new privacy-centric coin using the CryptoNote protocol. Infinium-8 was launched 7/18/2014 12:00 UTC Specifications PoW algorithm: CryptoNight [1] Max supply: Infinite Block reward: increasing with difficulty growth [2] Block time: 90 seconds Difficulty: Retargets at every block [1] CPU + GPU mining (about 1:1 performance for now). Memory-bound by design using AES encryption and several SHA-3 candidates. [2] Infinium-8 s the cryptocoin with block reward inincreasing together with difficulty. ... -
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SimpleFB_GA
a simple genetic algorithm written in FreeBasic
a FreeBasic-written Genetic Algorithm code is here deployed -
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PRUNET is a user-friendly software tool designed to address the contextualization of a prior knowledge gene regulatory networks (PKN) to specific experimental conditions. As the input, the algorithm takes a PKN and the expression profile of two given stable states or cellular phenotypes.
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voice enpoint detect
voice enpoint detect study project
This project contains a pitch detect and a voice endpoint detect algorithm. Also codes for a digital filter and drawing font on bitmap file. It is just for study, nothing more, so be have fun! -
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phenotemp
phenological trends using NOAA AVHRR time series
Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be determined via threshold-based algorithms or via analysis of max. increase of NDVI during green-up. ... -
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fusie
Fuzzy scala inference engine
Rewriting from Java to Scala and improving my university project on course Artifical Intelligence Systems. About project in russian: http://brunneng.blogspot.com/2013/06/fuzzy-scala-inference-engine-fusie.html Can be used from maven: <dependency> <groupId>net.sf.brunneng.fusie</groupId> <artifactId>fusie</artifactId> <version>0.8.1</version> </dependency> -
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EducationalLCS
eLCS - Educational Learning Classifier System
Educational Learning Classifier System (eLCS) is a set of learning classifier system (LCS) educational demos designed to introduce students or researchers to the basics of a modern Michigan-style LCS algorithm. This eLCS package includes 5 different implementations of a basic LCS algorithm, as part of a 6 stage set of demos that will be paired with the first introductory LCS textbook. Each eLCS implementations (from demo 2 up to demo 6) progressively add major components of the entire LCS algorithm in order to illustrate how work, how they are coded, and what impact they have on how an LCS algorithm runs. ... -
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Simple Hand-Writing Recognizer
A simple but effective handwriting recognition system based on DTW
"Simple Hand-Writing Recognizer" is a very simple but effective online handwriting recognition system based on DTW (Dynamic Time Warping) algorithm. It is written in pure C++, so of course it is a cross-platform library. -
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sdEM
Stochastic Discriminative Expectation Maximization (sdEM)
Stochastic discriminative EM (sdEM) is an online-EM-type algorithm for discriminative training of probabilistic generative models belonging to the natural exponential family. In this work, we introduce and justify this algorithm as a stochastic natural gradient descent method, i.e. a method which accounts for the information geometry in the parameter space of the statistical model. We show how this learning algorithm can be used to train probabilistic generative models by minimizing different discriminative loss functions, such as the negative conditional log-likelihood and the Hinge loss. ... -
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NEAT Visualizer SFML
A NEAT Implementation and Visualization System
Evolves neural networks using the Neuro-Evolution of Augmenting Topologies (NEAT) technique. A separate visualization system uses another genetic algorithm to evolve images of the otherwise dimensionless networks so their structure can be observed. -
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Matlab Algorithm To C or C++
Matlab Mupad algo demos to C and C++
A demo with Matlab Mupad with an Options Call and Put algos converted to various C and C++ projects. You could also use Simulink for even FPGA deployment via HDL for ultra lowest high frequency trading -
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Octree Method For Particles
simulation of particles using an oct-tree
...they don't have to send each other their whole dataset - only a zoomed out image of it. the further away, the more zoomed out. thus, i/o traffic is greatly reduced. combine this with the fact that it's an O(N) algorithm, and what you get is an accurate particle-based physics simulator whose simulation speed scales with the number of particles per compute unit even for VERY large particle counts and VERY large computing arrays. In a phrase, simulation on a massive scale! -
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pPromotif is a tool to find most significant transcription factor binding sites (TFBS) on plant genomic sequences. Read more http://www.ncbi.nlm.nih.gov/pubmed/24845501
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Encryption with symmetric-key algorithm Kirmah - generate keys with exotic chars - redefine key length - key mark to ensure decryption capabilities - mix data - fast with multiprocessing - possible compression - gui on gtk3 - cli tool - python3 DEPENDENCIES : ======== python3, python-gobject, gobject-introspection, pygtk 3 modes are available to encrypt : ======== - compression (full / disabled or only final step) - random (simulate a random order - based on crypted key - to randomize data) - mix (mix data according to a generated map - based on crypted key - with addition of noise) Process is as follow : ======== encrypt : file > [ compress > ] encrypt > [randomiz data > mix data > compress > ] file.kmh decrypt: file.kmh > [ uncompress > unmix data > unrandomiz data] > decrypt > [uncompress > ] file ======== for encrypt/decrypt large binary files, use the fastest alternative : split/merge
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ImpraStorage
ImpraStorage provided a private imap access to store large files
...Each part also contains random noise data (lenght depends on a crypt key) to ensure privacy and exclude easy merge without the corresponding key. An index of files stored is encrypt (with the symmetric-key algorithm Kirmah) and regularly updated. Once decrypt, it permit to perform search on the server and download each part. transfert process is transparent. Just vizualize locally the index of stored files and simply select files to download or upload. ImpraStorage automatically launch the parts to download, then merge parts in the appropriate way to rebuild the original file. ... -
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pe-group
a novel algorithm for grouping
Here we offer a small code for grouping. The input is a distance matrix and the out put includes grouping message in each step. -
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Code to calculate the effective parameters of metamaterials. The algorithm is described in Zsolt Szabó et al., A Unique Extraction of Metamaterial Parameters based on Kramers-Kronig Relationship, IEEE MTT, vol. 58, no. 10, 2010, pp. 2646-2653.
