Search Results for "number prediction algorithm"
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Showing 39 open source projects for "number prediction algorithm"
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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HungarianAlgorithm
An Ada implementation of the Hungarian Algorithm to minimize cost
The Hungarian algorithm can be described as optimally solving a workers versus jobs assignment problem that minimizes total cost. This implementation assumes a square cost matrix, i.e. the number of jobs equals the number of workers to do them. -
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miRDeep*
MiRDeep*
Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction. -
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grafx - Extensible Java Graphics Package
Extensible Line-drawing & Polygon-filling Rasterization Libs for Java
Line-drawing and polygon-filling rasterization algorithms in Java. Simple 2D package and more complex 3D package with Z-buffering. Texture mapping not supported at the moment. Color interpolation for lines, Gouraud shading for polygons fully supported. Floating point vertex coordinates, not integer. Pixel-level aliasing, not endpoint aliasing. Doesn't use Bresenham line style! Works with all Java versions. No external dependencies. Suitable for study in academic institutions,... -
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Gpredict
Real time satellite tracking and orbit prediction
Gpredict is a real-time satellite tracking and orbit prediction application. Gpredict can track an unlimited number of satellites and display the data in tables and various graphical view. -
The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data... -
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Xoptfoil
Airfoil optimization with Xfoil
Airfoil optimization using the highly-regarded Xfoil engine for aerodynamic calculations. Starting with a seed airfoil, Xoptfoil uses particle swarm, genetic algorithm and direct search methodologies to perturb the geometry and maximize performance. The user selects a number of operating points over which to optimize, desired constraints, and the optimizer does the rest. -
7
DACO-algorithm
A novel transcription factor complex prediction algorithm.
Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines... -
8
RTC-simulator
Simulation and Control of Processing Plants
...Mulholland (2015). This is a simple interactive simulator including 20 different applications for such aspects as PID and DMC controller tuning, advanced level control, Smith prediction, Kalman filtering, and control strategies for a furnace, a boiler, and a hybrid system. A tutorial gives brief background to the theory and programming of each application, plus a stepwise set of objectives to illustrate the main features. The simulations include a number of the techniques described in Applied Process Control – Essential Methods, and that book’s accompanying volume, Applied Process Control – Efficient Problem Solving. ... -
9
D-Tailor
D-Tailor: automated analysis and design of DNA sequences
...DNA-Tailor (D-Tailor) is a fully extendable software framework for biological sequence analysis and multi-objective sequence design. D-Tailor permits the seamless integration of an arbitrary number of sequence analysis tools into a Monte-Carlo algorithm that evolves synthetic sequences towards user-defined goals. -
Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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popt4jlib
Parallel Optimization Library for Java
popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known network flow and other graph algorithms. ... -
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AI learning
AiLearning, data analysis plus machine learning practice
We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community,... -
12
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. -
13
n-chinese-remainders
chinese remainder theorem - progressive solving, n-soln, extras
...other funs: Euclidians, showFactors, changeBaseArr, caesar, rsa, inverseMod, IntToModTups (large number math for PC's) crfindnSolnAfterxInEqm (solve saw wave LL,RL,LR,... intersects) congruence, plots, y-shifted triangular wave solve, testing (for historic reasons files are also in https://sourceforge.net/projects/periodictablemm/) -
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pySimiam
Robot simulator inspired by Sim.I.Am
PySimiam is a robot simulator, created to follow the course "Control of Mobile Robots" offered at Coursera. The simulator models an arbitrary number of mobile robots in a 2D environment, each controlled by a arbitrary algorithm. -
15
WiiGesture for Fex/AIR
Allows inclusion of Gesture Interaction via WiiMote in Web-Apps
...We used it to identify intuitive gestures from users for certain commands. The entire work was part of my diploma thesis I wrote in 2008 at Fraunhofer IGD. The gesture recognition API was included in a number of example scenarios. -
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ExSTraCS
Extended Supervised Tracking and Classifying System
This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. -
17
NOFI ranking
The Non-Outlier Fragment Ion ranking for enhaced DIA quantification
The NOFI ranking algorithm has been developed to assign low priority to fragment ions affected by interference. The implementation is an R script that can be customized. A future version will contain a modular version. The outline is as follows: 1) The input contains the list of SWATH fragment ion XICs from the identified and quantified peptides by software tools such as Skyline and OpenSWATH. 2) The first step in NOFI is the computation of the 4 attributes (RTd, FWHMd, IRd and IRrep) used to represent each fragment ion as a vector. 3) Multivariate outlier detection techniques are used to rank all the fragment ions from each peptide. 4) Several figures are generated (a pdf file) to visualize the effect of the Top-N fragment ions over different indicators. 5) The user can choose the number of top fragment ions per peptide, thereby utilizing the optimal subset of high priority Top-N NOFIs for quantification while excluding the impaired fragment ions. -
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GDLOG
Implementation of the GNFS for discrete logarithm problem in GF(p)
GDLOG is an implementation of the General Number Field Sieve algorithm for discrete logarithm problem in GF(p). -
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GESPA
Accurately predicts disease association of single nucleotide mutations
GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy. The software can be used clinically to determine if observed nsSNPs are... -
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fitGCP
Fitting genome coverage distributions with mixture models
...Besides commonly used distributions, fitGCP uses distributions tailored to account for common artifacts. The mixture models are iteratively fitted based on the Expectation-Maximization algorithm. Please find the accompanying paper here: http://dx.doi.org/10.1093/bioinformatics/btt147 -
21
Face Recognition System
Face Recognition System Matlab source code
Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm. -
22
LWPR
Locally Weighted Projection Regression (LWPR)
Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. -
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RSSA
Rejection-based stochastic simulation algorithm (RSSA)
Rejection-based stochastic simulation algorithm (RSSA) is an efficient exact algorithm for doing stochastic simulation of biochemical reaction systems. RSSA improves over state of the art of stochastic simulations by avoiding and collapsing as much the number of propensity updates. -
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FreDec
Parallelized FREquency DEComposer algorithm
This is a parallelized algorithm performing a decomposition of the time-series data into a number of sinusoidal components, disentangling them from the white Gaussian noise. The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. ... -
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easyPAC
easy Primer prediction from Alignments and Consensus sequences
Primer prediction from alignments and consensus sequences. easyPAC applies all standard quality tests to degenerate primer and primer pairs and optionally maps all primer candidates to an arbitrary number of reference files like repeat databases or genomes to ensure target specifity.
