Search Results for "algorithm" - Page 34
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Showing 2943 open source projects for "algorithm"
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Unconventional Type of PRNG in GO
Implements a newer type of PRNG in Go
This implements the new type of random number generator (from the year 2000 paper). I have modifed their algorithm slightly-so it is suit an implementation in Go -
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A spring-based 3D graph layout tool written in Java. Rendering is performed in OpenGL via the JOGL library.
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Simple Seismic Viewer
A simple seismic viewer
...Seismic visualization includes trace spectrum computation on the fly and Wigner-Ville transform and visualization. All data formats in the latest SEG-Y_r2.0 are now included. Version 1.1.3 now include a smoothed Wigner-Ville distribution function algorithm. Version 1.1.4 now include the ability to specify byte locations and byte lengths for data reading. Version 1.1.6 now include fist break picking capabilities using the Modified Coppens Method Version 1.1.7 now includes a dip/velocity measuring tool. -
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Plagiarism Checker Pro
Plagiarism Checker for Wordpress
Plagiarism Checker Pro plugin checks for copied or duplicate content on Wordpress platform. Plagiarism Checker PRO provides plagiarized percentage for the copied content using an unique set of algorithm. For time being supports English language. -
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cfPred
Chou & Fasman algorithm implemented using C language.
Chou & Fasman algorithm implemented using C language. It is a CUI tool used for protein secondary structure prediction. -
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AutoGrow
AutoGrow 3.1 is an evolutionary algorithm that optimizes candidate lig
IMPORTANT NOTE: The latest version of AutoGrow (v4) can be found at http://git.durrantlab.com/jdurrant/autogrow4 More information about the older version posted here on SourceForge can be found at http://autogrow.ucsd.edu AutoGrow 3.1 is an evolutionary algorithm that optimizes candidate ligands for predicted binding affinity and other druglike properties. Though no substitute for the medicinal chemist, AutoGrow attempts to introduce some chemical intuition into the automated optimization process. By carefully crafting chemically feasible druglike molecules, we hope that AutoGrow 3.1 will help supplement the chemist's efforts. -
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vizceral
WebGL visualization for displaying animated traffic graphs
vizceral is a component for displaying traffic data on a webgl canvas. If a graph of nodes and edges with data about traffic volume is provided, it will render a traffic graph animating the connection volume between nodes. This component can take multiple traffic graphs and will generate a 'global' graph showing all incoming traffic into each of the 'regions', with support for cross-region traffic. There are three levels of information, global, regional, and service-level, with clicking or... -
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SILVER
SILVER: An efficient tool for stable isotope labeling quantification
With the advance of experimental technologies, different stable isotope labeling methods have been widely applied to quantitative proteomics. Here, we present an efficient tool, named SILVER for processing the stable isotope labeling mass spectrometry data. SILVER implements novel methods for quality control of quantification at spectrum, peptide and protein levels respectively. Several new quantification confidence filters and indices are used to improve the accuracy of quantification... -
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Bytecoin (BCN)
Bytecoin is a cryptocurrency based on the unique CryptoNote technology
Bytecoin (BCN) is a cryptocurrency developed from scratch and based on the unique CryptoNote technology. Bytecoin provides its users with high level of privacy protection and true democratic way of mining. Main features of BCN are: - untraceable and unlinkable transactions, - egalitarian PoW, - analysis resistant blockchain. It's also designed to be easy mined on average PC. BCN brings equality to all miners and users. Bytecoin (BCN) was launched on July 4, 2012. -
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L1-norm-robust-regression
linear regression on the basis of minimal absolute deviations error
...It allows for a simple solution process, hence its popularity. But it is not robust to outlier points. L1-norm regression is robust with respect to outliers but the solution algorithm is more difficult. It minimizes the sum of absolute deviations. -
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ECO
Matlab implementation of the ECO tracker
ECO (Efficient Convolution Operators for Tracking) is a high-performance object tracking algorithm developed by Martin Danelljan and collaborators. It is based on discriminative correlation filters and designed to handle appearance changes, occlusions, and scale variations in visual object tracking tasks. The code provides a MATLAB implementation of the ECO and ECO-HC (high-speed) variants and was one of the top performers on multiple visual tracking benchmarks. -
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Bolt ML
10x faster matrix and vector operations
Bolt is an open-source research project focused on accelerating machine learning and data mining workloads through efficient vector compression and approximate computation techniques. The core idea behind Bolt is to compress large collections of dense numeric vectors and perform mathematical operations directly on the compressed representations instead of decompressing them first. This approach significantly reduces both memory usage and computational overhead when working with... -
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Elements of Programming Interviews
Method stubs and test cases for Elements of Programming Interviews
...This book is also available in Python and C++. This repository contains solutions to problems from the book "Elements of Programming Interviews," focusing on interview preparation and algorithm practice. -
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interview
Everything you need to prepare for your technical interview
...Instead of providing a single course, it organizes books, articles, practice sites, videos, mock interviews, question collections, and specialist guides in one repository. Algorithm preparation covers textbooks, coding challenge platforms, tutorials, and data-structure resources. General interview guidance includes resume advice, behavioral preparation, coding interviews, and system design material. Technology-specific sections cover Android, C#, Go, JavaScript, Node.js, PHP, Python, React, and additional subjects. ... -
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Marshall
Detect False Alarm KOIs in Kepler Data
...It is described in detail in Mullally et al. (2015, submitted to ApJ) This code is published primarily as a record of how the results in that paper were produced, and running this package depends on code not yet made available. However, the core of the algorithm is self contained, even if the details of how I ran it on Kepler data are incomplete. See the readme file for more details. -
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faif
C++ header only library with AI and bioinformatics algorithms
C++ header only library, small and fast; Naive Bayesian Classifier, Decision Tree Classifier (ID3), DNA/RNA nucleotide second structure predictor, timeseries management, timeseries prediction, generic Evolutionary Algorithm, generic Hill Climbing algorithm and others. -
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jalicanto
Traveling Salesman Problem "window time based" aproximate solver
Time based Traveling salesman problem solver. Using iterated local search algorithm, implements xkick perturbation Programmed in Java. A class to use the TSP Suite(Thomas Weise, Raymond Chiong, J ¨org L¨assig, Ke Tang, Shigeyoshi Tsutsui, Wenxiang Chen, Zbigniew Michalewicz, Xin Yao, Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. 2014.),is implemented. -
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x_Cleaner
Utility to sector-level cleaning your storage with special algorithm.
...Russian GOST R-50739-95 (1-st pass 0x0, 2-nd pass-random values) 4. US DoD 5220.22-M(E) (1-st pass 0x0, 2-nd pass 0x1 and 3-d pass - random values) 5. Bruce Schneier's algorithm (1-st pass 0x1, 2-nd pass 0x0, 3-7 passes - random values) x_Cleaner works for Windows XP, Vista,7 and later versions. -- Important! Run x_Cleaner with administrative rights in order to clean non-removable media. -
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autoFRK
Automatic Fixed Rank Kriging
...For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. For data with missing values, the ML estimates are obtained using the expectation-maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes 'LatticeKrig' package. -
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CUDA-MEME
Ultrafast scalable motif discovery algorithm using GPU computing
mCUDA-MEME is a well-established ultrafast scalable motif discovery algorithm based on MEME (version 4.4.0) algorithm for multiple GPUs using a hybrid combination of CUDA, MPI and OpenMP parallel programming models. This algorithm is a further extension of CUDA-MEME (based on MEME version 3.5.4) with respect to accuracy and speed and has been tested on a GPU cluster with eight compute nodes and two Fermi-based Tesla S2050 (and Tesla-based Tesla S1070) quad-GPU computing systems, running the Linux OS with the MPICH2 library. ... -
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Dwifft!
Dwifft is a small Swift library
...It can help you build a substantially better user experience if you have table/collection views with dynamic content in your app. There is some non-trivial index math inside of this diff algorithm that is easy to screw up. Dwifft has 100% test coverage on all of its core algorithms. -
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This program takes snapshot of car license number plate and then recognize the text on it. It is based on the very elementary technique of templates matching. The algorithm takes an input image of the number plate (number plate should be dominant in the image) and after filtering the image, it performs region based operations. Then it tries to capture the characters regions in a processed binary image and with the aid of template matching outputs the string of number plate characters.
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Swift AI
The Swift machine learning library
Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the... -
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A star
it is an implementation of A* algorithm with examples of its usage.
A start (A*) is the algorithm for searching the shortest path in the weighted graphs. My implementation is provided with various interesting applications, i.e. 15 puzzle. This project is related to my other projects located at sourceforge as well: https://sourceforge.net/projects/path-finder-qt/ https://sourceforge.net/projects/shortest-path-graph-a-star/ For detail of A* algorithm see wiki page: https://en.wikipedia.org/wiki/A*_search_algorithm -
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ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification.
