Search Results for "linear" - Page 7
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Showing 767 open source projects for "linear"
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eBag
Company administration manager
eBag is software project focused on company (factory) administration via PHP+MySQL solutions, on the local network, using browsers as terminals to access the company database. The server solution provides platform independence and collaborative work. PHP offers flexibility and the ability to change (or upgrade) the source code to personal needs, and MySQL innoDB provides transactional safe, recoverable tables. Using language files provides easy and quick translation to any language, and MVC... -
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Fosite - advection problem solver
numerical simulation code for solving transport equations in 1D/2D/3D
Fosite is a generic framework for the numerical solution of hyperbolic conservation laws in generalized orthogonal coordinates. Its main purpose is the simulation of compressible flows in accretion disks. The underlying numerical solution method belongs to the family of unsplit conservative finite volume TVD schemes. The method is 2nd order accurate in space and uses high order Runge-Kutta and multistep schemes for time evolution. In addition to the pure advection code several source terms... -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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GrainSizeTools script
A Python script for estimating the grain size from thin sections
Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the... -
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DifferenceKit
A fast and flexible O(n) difference algorithm framework
A fast and flexible O(n) difference algorithm framework for Swift collection. The algorithm is optimized based on the Paul Heckel’s algorithm. This is a diffing algorithm developed for Carbon, works stand alone. The algorithm optimized based on the Paul Heckel’s algorithm. See also his paper A technique for isolating differences between files released in 1978. It allows all kind of diffs to be calculated in linear time O(n). RxDataSources and IGListKit are also implemented based on his... -
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igspread
converts between IGES file and text file
Command-line interface program that converts between IGES file and text file. IGES files are compatible with most of CAD systems. This program permits you to convert curves and points created in CAD program into coordinates in text file or you can do the opposite - convert text files into curves. It is especially suitable for curves described by hundreds of coordinates, e.g. airfoil contours of aircraft wings. Output filename is either out.txt or out.igs. -
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WaveTrain (Python)
Quantum dynamics of chain-like systems using tensor train formats
..., as well as solvers for eigenvalue problems and linear differential equations in the TT format. WaveTrain comprises solvers for time-independent and time-dependent Schrödinger equations employing TT decompositions to construct low-rank representations. Often, the TT ranks of state vectors are found to depend only marginally on the chain length N, which results in the computational effort growing only slightly more than linearly in N, thus mitigating the curse of dimensionality. -
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Deep learning time series forecasting
Deep learning PyTorch library for time series forecasting
Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series... -
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ModelFox
ModelFox makes it easy to train, deploy, and monitor ML models
... learning model by running modelfox train with the path to a CSV file and the name of the column you want to predict. The CLI automatically transforms your data into features, trains a number of linear and gradient boosted decision tree models to predict the target column, and writes the best model to a .modelfox file. If you want more control, you can provide a config file. -
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avidemux
A free video editor to cut, filter, and encode projects
Edit your avi, mpeg and nuv. Process audio and video. Cut. -
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase... -
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RoughSwift
Create hand-drawn, sketchy, comic shape in Swift
Create hand-drawn, sketchy, comic shape in Swift. RoughSwift allows us to easily make shapes in a hand-drawn, sketchy, comic style in SwiftUI. Use the generator in draw function to specify which shape to render. The returned CALayer contains the rendered result in the correct size and is updated every time the generator is instructed. The beauty of CALayer is that we can further animate, transform (translate, scale, rotate) and compose them into more powerful shapes. -
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ConstraintSolver.jl
ConstraintSolver in Julia
This package aims to be a constraint solver completely written in Julia. The concepts are more or less fully described on my blog OpenSourc.es. There is of course also the general user manual here which explains how to solve your model. -
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bmx, libMXF and libMXF++ have moved to GitHub: - https://github.com/bbc/bmx - https://github.com/bbc/libMXF - https://github.com/bbc/libMXFpp Library and utilities to read and write broadcasting media files. Primarily supports the MXF file format.
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JLinAlg is an open source and easy to use Java library for linear algebra. It can do calculations without rounding errors. Features include: basic matrix operations, algorithms for solving Linear Equation Systems, inverting matrices, computing the determinant and the eigenvalues of a matrix. We have moved to Github: https://github.com/JLinAlg/JLinAlg
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ManifoldLearning
Package for manifold learning and nonlinear dimensionality reduction
A Julia package for manifold learning and nonlinear dimensionality reduction. Most of the methods use k-nearest neighbors method for constructing local subspace representation. By default, neighbors are computed from a distance matrix of a dataset. This is not an efficient method, especially, for large datasets. -
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lightning library
Large-scale linear classification, regression and ranking in Python
lightning is a library for large-scale linear classification, regression and ranking in Python. -
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X11-Basic
A BASIC interpreter and compiler with graphics.
X11-Basic is a dialect of the BASIC programming language with graphics capability that integrates features like shell scripting, cgi-Programming and full graphical visualisation into the easy to learn basic language on modern computers. -
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SGP AutoFocus LogViewer
Autofocus log viewer for Sequence Generator Pro.
This software extracts relevant autofocus data from the log files generated by the Sequence Generator Pro astrophoto capture software. It further allows to graph all the autofocus runs stored in the logfile and to calculate temperature coefficients and filter offsets. -
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SpectralWorks
View, manipulate, analyze (LS fit, SVD, FT), and make figs of, spectra
Program for viewing, editing, manipulating, and analyzing absorbance spectra. Simple arithnetic includes making linear combinatins of up to 10 spectra. Advanced functions include fitting spectra as LC of standard basis spectra, singular value decomposition, Fourier transform, differentiation, integration, global fitting of 3D titration and kinetic data. Graphics features allow composing Figures and export to postscript files which can be converted to pdf, imported into photoshop... -
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Orbit Determination Toolbox (ODTBX)
Advanced mission simulation and analysis tool
... of estimation commands that incorporate Monte Carlo data simulation, linear covariance analysis, and measurement processing at a generic level. -
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QtGrace
native Grace for Windows, Linux and Mac OS X based on Qt
QtGrace is a version of Grace based on the Qt-SDK by The Qt Project www.qt.io. QtGrace/Grace is a program to display or plot data, analyze data and prepare it for printing. Using QtGrace is to run Grace natively on Windows, Mac OS X and Linux. -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results.... -
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Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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opbdp
opbdp (non-linear) pseudo-Boolean optimization
opbdp is an implementation in C++ of an implicit enumeration algorithm for solving (non)linear 0-1 (or pseudo-Boolean) optimization problems with integer coefficients. A research report describing the techniques used in opbdp is included.