Showing 528 open source projects for "numerical"

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  • 1

    SVPhylA

    SVPhylA: Sequence Vectorization for Phylogenetic Analyses

    SVPhylA is a python tool for the calculation of several alignment-free distances for phylogenetics analysis from the most popular alignment-free approaches. Such alignment-free methods basically encode DNA and protein sequences (fasta files) into numerical vectors allowing the calculation of alignment-free distances which may be combined into a consensus/compromise matrix by using algorithms like DISTATIS based on Multidimensional Scaling (MSD), Lineal Principal Component Analysis (PCA) and PCA-Kernel (non-lineal). In addition, genetic distances derived can be either combined between them or with the alignment-free distances. ...
    Downloads: 0 This Week
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  • 2
    PMCGPU

    PMCGPU

    Parallel simulators for Membrane Computing on the GPU

    Membrane Computing is a new research area (within Natural Computing) that aims to provide computing devices abstracted from the functioning and structure of living cells. These devices are called P systems. The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g. CUDA, OpenCL, etc). Other parallel platforms are also welcome (multicore and manycore, FPGAs,...
    Downloads: 3 This Week
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  • 3

    weatherPi

    An extensible weather sensor recording network, based on Raspberry Pis

    A distributed network of sensors with a central data store, to record environmental data. Project goals include: * to serve as a teaching outlet for: ** sensor programming ** distributed data collecting ** web APIs ** database ** web UI for numerical data ** graphing data sensibly It also gives me some infotainment in new (to me) technologies, and as an excuse to scatter ever more Raspberry Pis around my home.
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  • 4
    Dive-into-DL-TensorFlow2.0

    Dive-into-DL-TensorFlow2.0

    Dive into Deep Learning

    This project changes the MXNet code implementation in the original book "Learning Deep Learning by Hand" to TensorFlow2 implementation. After consulting Mr. Li Mu by the tutor of archersama , the implementation of this project has been agreed by Mr. Li Mu. Original authors: Aston Zhang, Li Mu, Zachary C. Lipton, Alexander J. Smola and other community contributors. There are some differences between the Chinese and English versions of this book . This project mainly focuses on TensorFlow2...
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  • 5

    CAI[N]

    Chromosomal Aberration Identifier [Numerical]

    CAI[N] is a novel computational tool for CNV-karyotyping based on low coverage whole genome sequencing that uses in silico-generated normal karyotypes as a reference to calculate numerical chromosomal aberrations in fixed genomic windows in experimental samples.
    Downloads: 0 This Week
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  • 6
    nchemproject

    nchemproject

    Numerical Chemostat for Wastewater Systems

    NCHEM (Numerical Chemostat) is an open source software tool to simulate numerically the behavior of a chemostat in which develops a microbiological system represented by several available models.
    Downloads: 0 This Week
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  • 7
    CasADi
    A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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    Downloads: 4 This Week
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  • 8
    TGAN

    TGAN

    Generative adversarial training for generating synthetic tabular data

    ...The new model is simpler and gives better performance on many datasets. TGAN is a tabular data synthesizer. It can generate fully synthetic data from real data. Currently, TGAN can generate numerical columns and categorical columns. TGAN has been developed and runs on Python 3.5, 3.6 and 3.7. Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system where TGAN is run. For development, you can use make install-develop instead in order to install all the required dependencies for testing and code listing. ...
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  • 9
    ...Also a performance test and its results on my computer are provided. The Performance test suggest to use 4 threads for parallelization. With this one can beat the implementation in "Numerical Recipes in C++" for large signals with more than 2^16 / 2^17 / 2^18 samples depending on the hardware and software.
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  • 10
    numpy_exercises

    numpy_exercises

    Numpy exercises

    numpy_exercises is a collection of short practice problems designed to teach numerical computing through individual NumPy functions. The material is organized as Jupyter notebooks so learners can work interactively and compare their answers with companion solution notebooks. Exercises cover array creation, manipulation, string operations, help utilities, input and output, and linear algebra. Additional sections address discrete Fourier transforms, logic functions, mathematics, random sampling, and set routines. ...
    Downloads: 1 This Week
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  • 11
    panFMP
    panFMP is a generic framework suitable for harvested XML metadata that is searchable through Apache Lucene without any additional RDBMS. Fields can be defined by XPath allowing for full text queries on all types of fields including numerical ranges. The code was moved to Github: https://github.com/pangaea-data-publisher/panfmp
    Downloads: 0 This Week
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  • 12
    FilterPy

    FilterPy

    Python Kalman filtering and optimal estimation library

    ...The package also includes particle filters, least-squares filters, fading-memory filters, g-h filters, discrete Bayes methods, and H-infinity tools. Its code favors readability and close correspondence with the underlying equations. NumPy and SciPy handle the numerical work, with Matplotlib commonly used for visualization. The library accompanies the book Kalman and Bayesian Filters in Python and is useful for learning, prototyping, tracking, navigation, and estimation experiments.
    Downloads: 11 This Week
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  • 13
    MATLAB Robotics

    MATLAB Robotics

    MATLAB sample codes for mobile robot navigation

    ...The code is written to be accessible and easy to adapt, enabling experimentation with both classical and modern robotics techniques. By using MATLAB’s visualization and numerical capabilities, the repository offers intuitive demonstrations of algorithms in action. As an open resource, it encourages contributions and serves as a foundation for building and testing robotics concepts in simulation.
    Downloads: 0 This Week
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  • 14
    A command-line tool for numerical reconstruction of digital holograms (formerly known as "HoloPlay")
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  • 15
    Radiance

    Radiance

    Highly accurate ray-tracing software system for UNIX computers

    ...Scene geometry, materials, luminaires, time, date and sky conditions (for daylight calculations) are specified; spectral radiance (ie. luminance + color), irradiance (illuminance + color) and glare indices are calculated. Simulation results may be displayed as color images, numerical values and contour plots. Radiance is useful for architects and engineers in predicting illumination, visual quality and appearance of innovative design spaces; and for researchers in evaluating new lighting and daylighting technologies.
    Downloads: 8 This Week
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  • 16

    NUGKit

    Numerical Unstrcuted Grid Kit for scientific computing

    This project is providing some part of scientific computing for doing finite element method about grid or mesh information. It is designed for handling grid information in parallel computing. And it also provides some modules for boundary conditions and data file formats.
    Downloads: 0 This Week
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  • 17
    nlabck

    nlabck

    Numerical Laboratory on Chemical Kinetics

    NLabCK is an open source software tool to simulate numerically the behavior of reacting chemical systems or other dynamical systems (changing over time) provided they can be represented as a set of molecular chemical reactions.
    Downloads: 0 This Week
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  • 18

    neurofem-simbio

    SimBio: A Generic Environment for Bio-numerical Simulation

    SimBio, which consists of NeuroFEM and IPM is a "University-code". It was developed by researchers to answer questions at hand and not by professional software developers. Using the package on own data or even on our example data sets is going to take significant effort for which we usually cannot provide support. Support can be provided, however, within a framework of a joined research collaboration. Simbio was originally developed on the basis of C++ and Fortran routines. The source...
    Downloads: 0 This Week
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  • 19
    G+Smo

    G+Smo

    Geometry plus Simulation Modules

    G+Smo (Geometry + Simulation Modules, pronounced "gismo") is a new open-source C++ library that brings together mathematical tools for geometric design and numerical simulation.
    Downloads: 0 This Week
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  • 20

    SoDiOpt

    A numerical solver for optimization-constrained differential equations

    SoDiOpt is a MATLAB-based code that performs numerical integration of Optimization-Constrained Differential Equations (OCDE). SoDiOpt provides efficient numerical solution of OCDE by using the optimality-based solution method. A sequence of DAE systems are generated and classical index-1 DAE simulator is applied to solve the derived DAE systems.
    Downloads: 0 This Week
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  • 21
    MatlabFunc

    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 domains. ...
    Downloads: 4 This Week
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  • 22
    Incanter

    Incanter

    Clojure-based, R-like statistical computing and graphics environment

    Incanter is a Clojure-based, R-like statistical computing and visualization library running on the JVM. It integrates core numerical libraries like Parallel Colt and JFreeChart to deliver data manipulation, modeling, statistical tests, and charting in a REPL-friendly environment. Start by visiting the Incanter website for an overview, check out the documentation page for a listing of HOW-TOs and examples, and then download either an Incanter executable or a pre-built version of the latest build of Incanter, which includes all the necessary dependencies, and unpack the file (if you would like to build it from source, read Building Incanter). ...
    Downloads: 0 This Week
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  • 23
    Numerics for Chemical Engineering

    Numerics for Chemical Engineering

    Numerical models for chemical and process engineering

    NCE Calculation Framework is a library of routines, models and data applicable to chemical and process engineering calculations, written in Java. -- NEW -- www.chesolver.com *ONLINE CALCULATORS*. A set of solvers to perform calculations consistently on any device, from smart-phone to desktop. The project includes the following ready to use software all based on the same core library: * Online Calculators at www.chesolver.com * Extensions for Libreoffice/Openoffice Calc...
    Downloads: 2 This Week
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  • 24
    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).
    Downloads: 0 This Week
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  • 25
    Zhao

    Zhao

    A compilation of "The Princely Party Relationship Network"

    ...Depending on the specific subfolders, it could offer implementations of algorithms, dataset processing utilities, or notebooks that illustrate concepts. Users interested in reading academic work or numerical demonstrations can use the content to deepen understanding of advanced topics.
    Downloads: 0 This Week
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