Search Results for "algorithm" - Page 30
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Showing 2943 open source projects for "algorithm"
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PSOVina 2.0
The Hybrid Particle Swarm Optimization for Protein-Ligand Docking
A fast docking tool based on the efficient optimization algorithm of Particle Swarm Intelligence and the framework of AutoDock Vina. Based on the initial PSO implementation, our PSOVina method has undergone several important improvements to enhance the docking accuary and achieve remarkable efficiency as compared to the original AutoDock Vina. https://cbbio.online/software/psovina/index.html -
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spark-msna
Algorithm on Spark for aligning multiple similar DNA/RNA sequences
The algorithm uses suffix tree for identifying common substrings and uses a modified Needleman-Wunsch algorithm for pairwise alignments. In order to improve the efficiency of pairwise alignments, an unsupervised learning based on clustering technique is used to create a knowledge base to guide them. -
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KAREL 3D C++ ( Karel the Robot in 3D )
Karel - 3D language interpreter
...In Karel, currently can not be use Load or Save ( use Ctrl+C, Ctrl+V between the editor and Notepad ) Tip for Karel: Type command: FAST before commands for demonstrating maximum performance. First KAREL-3D is created in 1986 after Karel the Robot, in Slovakia ( before Czechoslovakia ) on 8 bit microcomputer PMD 85-2 for school kids to learn algorithm and what is programming, teach know how to solve a logical problem, like Spock and his children from the planet Vulcan ( live long and prosper ). because it's fun Actual WebGL version: https://sourceforge.net/projects/karel-3d-webgl/ -
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NNC
Nuclear Norm Clustering
We present Nuclear Norm Clustering (NNC), an algorithm that can be used in different fields as a promising alternative to the k-means clustering method, and that is less sensitive to outliers. The NNC algorithm requires users to provide a data matrix M and a desired number of cluster K. We employed simulate annealing techniques to choose an optimal L that minimizes NN(L). To evaluate the advantages of our newly developed algorithm, we compared the performance of both 16 public datasets and 2 real psoriasis genome-wide association studies (GWAS), comparing our method with other classic methods. ... -
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JCSprout
Basic, concurrent algorithm
JCSprout is a curated learning path for Java engineers that mixes concise notes, diagrams, and runnable examples to cover core computer science and JVM topics. It walks readers through data structures and algorithms, networking fundamentals, Java concurrency, JVM memory model and GC, and common interview problem patterns. The repository emphasizes understanding over memorization, linking conceptual summaries with small code artifacts that can be compiled and profiled. It also highlights best... -
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Fiwix
A UNIX-like kernel for the i386 architecture
FiwixOS 3 is a Fiwix distribution, an operating system made from a software collection that is based upon the Fiwix kernel. It basically comprises a Fiwix kernel, GNU tools, libraries and additional software. All the included software is free and open-source software made available both as compiled binaries and in source code form, which allows modifications to the original software. FiwixOS 3 uses the Newlib v3.1.0 as its C standard library, and the Ext2 as its primary file... -
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tbox
📦 A glib-like multi-platform c library
TBOX is a glib-like cross-platform C library that is simple to use yet powerful in nature. The project focuses on making C development easier and provides many modules (.e.g stream, coroutine, regex, container, algorithm ...), so that any developer can quickly pick it up and enjoy the productivity boost when developing in C language. -
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LAIM
LAIM: A Linear time iterative influence maximization algorithm
LAIM: Linear Algorithm for Influence Maximization Any one using the source code please cite: Wu, Hongchun, et al. "A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks." International Conference on Neural Information Processing. Springer, Cham, 2017. -
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MatlabFunc
Matlab codes for feature learning
MatlabFunc is a collection of MATLAB functions developed by the ZJULearning group to support various tasks in computer vision, machine learning, and numerical computation. The repository brings together a wide range of utility scripts, algorithms, and implementations that serve as building blocks for research and development. These functions cover areas such as matrix operations, optimization, data processing, and visualization, making them broadly applicable across different research... -
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Absentia DX
An Intelligent Algorithm that cleans voice recordings
The Absentia DX algorithm analyzes production dialog recordings and then removes obvious hums, wireless rings, and ticks, while maintaining the integrity of the human voice. ABDX was developed for a network television show with difficult production sound that resulted in substantial repetitive manual labor. Simply drag and drop volumes, folders, or sound files directly onto the application or the settings window and files will begin processing. -
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Tsf_Mdnnhn
Time Series Forecasting.
Implementation of algorithm allowing Time Series Forecasting. -
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As of August 2018 Spheral++ has moved to Github -- please see the current repository at https://github.com/jmikeowen/spheral We are leaving a frozen version here on SourceForge for historical reasons. Spheral++ provides a steerable parallel environment for performing coupled hydrodynamical & gravitational numerical simulations. Hydrodynamics and gravity are modelled using particle based methods (SPH and N-Body).
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IDA Signsrch
IDA Pro plug-in of Luigi Auriemma's signsrch signature matching tool.
... * Deprecated, will no longer be updated, please see my use my superior YARA for IDA plugin here: https://github.com/kweatherman/yara4ida * July 2018, updated to IDA 7.1 Luigi's original signsrch description: "Tool for searching signatures inside files, extremely useful as help in reversing jobs like figuring or having an initial idea of what encryption/- compression algorithm is used for a proprietary protocol or file. It can recognize tons of compression, multimedia and encryption algorithms and many other things like known strings and anti-debugging code which can be also manually added since it's all based on a text signature file read at run-time and easy to modify." -
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NOMAD is a C++ code that implements the MADS algorithm (Mesh Adaptive Direct Search) for difficult blackbox optimization problems. Such problems occur when the functions to optimize are costly computer simulations with no derivatives.
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Invariant curve calculations in Matlab
Calculating stable & unstable curves for 2 dimensional maps in matlab.
This is an implementation that follows closely the algorithm for calculating stable curves, described by J. P. England, B. Krauskopf, H. M. Osinga in the paper "Computing One-Dimensional Stable Manifolds and Stable Sets of Planar Maps without the Inverse" published in SIAM J. APPLIED DYNAMICAL SYSTEMS 3.2 (2004), 161-190. The package also contains an implementation for calculating the unstable curves which is based on the paper "Growing 1D and Quasi-2D Unstable Manifolds of Maps" by Bernd Krauskopf and Hinke Osinga published in Journal of Computational Physics (Oct 1998), Volume 146, 404-419. ... -
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Clustering by Shared Subspaces
Grouping Points by Shared Subspaces for Effective Subspace Clustering
These functions implement a subspace clustering algorithm, proposed by Ye Zhu, Kai Ming Ting, and Mark J. Carman: "Grouping Points by Shared Subspaces for Effective Subspace Clustering", Published in Pattern Recognition Journal at https://doi.org/10.1016/j.patcog.2018.05.027 -
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...Although novelty is encouraged in regards to the algorithm, proposals could entertain approaches such as: a. Implementing the non-linear mixed effects theory, b. Maximum log-likelihood algorithms (stiff, non-stiff Ordinary Differential Equation solving methods with linearization)
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Easy Machine Learning
Easy Machine Learning is a general-purpose dataflow-based system
...Our platform Easy Machine Learning presents a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real-world tasks. In the system, a learning task is formulated as a directed acyclic graph (DAG) in which each node represents an operation (e.g. a machine learning algorithm), and each edge represents the flow of the data from one node to its descendants. -
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an implementation of the Inflate decompression algorithm corresponding to deflate compression as used by gzip and compatible with RFC 1951 Written in Z80 assembly language, with memory paging support for the Sam Coupe
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xmrMiner
A CUDA based miner for Monero
An optimized Monero miner designed to maximize GPU mining efficiency. -
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BoxWorldSolver
Graphical Solver for BoxWorld game
...It is a work in progress, and can currently solve around half of the 100 levels quickly, but struggles on the larger puzzles. Further work is needed on the solver algorithm. -
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Toolbox
Piotr's Image & Video Matlab Toolbox
Piotr’s Image & Video MATLAB Toolbox is a general-purpose MATLAB toolbox for image and video processing and vision tasks, offering utilities, filters, detection, feature extraction, and algorithm building blocks. Example and demo scripts for usage (e.g. acfReadme, detector readmes). It augments MATLAB’s native capabilities (not replacing the Image Processing Toolbox) by providing efficient, reusable wrappers and optimized routines. Example and demo scripts for usage (e.g. acfReadme, detector readmes). Support for compilation / mex (for speed) and cross-platform compatibility. -
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JSiteDescriptor
Binding site descriptor generation for SVM based classification.
A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too). -
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Universe Starter Agent
A starter agent that can solve a number of universe environments
...Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements a version of the A3C (Asynchronous Advantage Actor-Critic) algorithm, adapted for the specific challenges of Universe environments (e.g., network latency, VNC streaming, asynchronous observations). The repo includes modules like train.py, worker.py, model.py, a3c.py, and envs.py to support training, parallel worker management, policy/critics, and environment wrappers. -
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TimescapeGlobal
a space-time interpolation geostatistical tool
...On the other hand, most of the distributions of variables used in Earth and environmental sciences show patterns of change over time, not only in space. This tool is a free, open-source software, based on a generalization of the Inverse Distance Weighted algorithm. It outputs three-dimensional, layered discrete models from which time series and equal-time GIS Grid layers can be extracted.
