Search Results for "library" - Page 9
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Showing 508 open source projects for "library"
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LibppGam
pp->gamma cross sections parametrization
This library contains the parametrization of pp->gamma cross section functions based on Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369) work. The functions are written in Python, Fortran and Matlab. Please, if you use this library DO NOT reference to this webpage, instead reference to Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369), "Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies" by Ervin Kafexhiu, Felix Aharonian, Andrew M. ... -
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wmtsa-python
Discrete wavelet methods for time series analysis using python
Several python libraries implement discrete wavelet transforms. However, none of them, or at least none that I know, is aimed at scientific use. This library aims at filling this gap, in particular considering discrete wavelet transform as described by Percival and Walden. This module started as translation of the wmtsa Matlab toolbox (http://www.atmos.washington.edu/~wmtsa/), so most naming conventions and most of the code structure follows their choices. The code uses a mix of python and cython for improved performance. ... -
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LWPR
Locally Weighted Projection Regression (LWPR)
...Please cite: [1] Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005). [2] Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression, Journal of Machine Learning Research (JMLR), vol. 9, pp. 623--626 (2008). More details and usage guidelines on the code website. -
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ExcelPython
An interface for calling Python from Excel
ExcelPython is a lightweight, easily distributable library for interfacing Excel and Python. It enables easy access to Python scripts from Excel VBA, allowing you to substitute VBA with Python for complex automation tasks which would be facilitated by Python's extensive standard library. v2 is a major rewrite of ExcelPython! - see GitHub site for more details. LICENSE NOTICE MIT License, please see new GitHub site for more details. -
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N.Tesla
Numerical Transient Simulator for Power System
June 24, 2021. This project has been updated to STEPS project at github since March 21, 2018. Please go to https://github.com/changgang/steps for latest version. _______________________________ Great news. Version 0.6.6 is released with HVDC and Switched shunt model for powerflow. Please leave feedback to the developer. N.Tesla is an open source project to provide students and researchers of EE with a tool to implement new models for power system study and research. N.Tesla is... -
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...Please use the flowing pages for up-to-date information about cclib: Repository (source code, tracker) - https://github.com/cclib/cclib Online documentation - http://cclib.github.io/ cclib is an open source library, written in Python, for parsing and interpreting the results of computational chemistry packages. It currently parses output files from ADF, Firefly, GAMESS, GAMESS-UK, Gaussian, Jaguar and ORCA.
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SAMoCAD
Simple CAD program
...Main features: - create simple objects (line, arc, circle) - create complex objects (text, dimensions) - edit drawn objects - save drawing to SVG format - output drawing in PostScript format - export/import content DXF files (primitives LINE, CIRCLE, ARC, TEXT, DIMENSION) Program written in Python 2 and use the library Tkinter. Program requires no installation, but you need install Python 2.7 or later on your PC. Run file SAMoCAD.pyw to run the program. Its very old version of program!!! For more information see -
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TextTools is a freeware corpus linguistics tool developed in Python to aid in research. This program analyzes user-created corpora and displays information about word (token) frequency, n-grams, clusters, collocations, keyword in context (KWIC), and keyness. TextTools is designed to be user-friendly and intuitive and will run natively on Mac OS X.
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Advanced Numerical Instruments 2D
Advanced numerical instruments: adaptive meshing, FE methods, solvers
Ani2D provides portable libraries for each step in the numerical solution of systems of PDEs with variable tensorial coefficients: (1) unstructured adaptive mesh generation, (2) metric-based mesh adaptation, (3) finite element discretization and interpolation, (4) algebraic solvers. -
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mullpy
Multilabel-learning library built on python
Mullpy is a machine-learning library that mainly aim to solve multi-label problems. It is classifier independent, has many ensemble capabilities (diversity methods like bagging, random subspaces, etc.) and automated results presentation (Excel, images as ROC or class-separated info, etc.). It is fully configurable. At the moment supports Neural Networks and classifiers defined in files. -
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quichem
Utilities for fast input of chemical formulae and equations.
*** New releases of quichem will only be available on GitHub. *** quichem is a utility written in pure Python allowing for fast input and parsing of chemical formulae and equations. Entering data does not require any modifier keys or keystrokes to be pressed. This SourceForge page provided pre-built Windows binaries of quichem-pyside. **To run quichem on Mac OS X or Linux**, or with the wxPython front-end, please download the source from quichem's GitHub page at: github.com/spamalot/quichem. -
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A project to host code developed for the Microtransat challenge, a race between autonomous sailing robots. This project is intended for both supporting code such as tracking systems and robot control systems or parts of robot control systems.
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That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
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PyVision Computer Vision Toolkit
A Python computer vision library
PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries. -
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OpenCMISS-Zinc
A Library for Interactive Modelling and Visualisation
The OpenCMISS-Zinc Library (opencmiss.org/zinc), or Zinc, is a software library for building interactive graphical modelling and visualisation applications. Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. -
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caplib
Correct, translate and analyze combinatorial library sequencing data
Originally developped to handle PacBio CCS data for an AAV capsid library. This program will extract, correct, translate and analyze the sequencng data, starting from the CCS fastq file. -
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Implementation in Python of some of the statistical methods provided by "asurv", the survival analysis software.
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kubos
A simple modular CAD application
Kubos is a CAD application which is in an early stage of development. A derivative version called Kubos Schript can be used for creating scripted objects. For installation instructions see https://sourceforge.net/p/kubos/wiki/Installation/ -
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A free, industrial quality library for simulating articulated rigid body dynamics - for example ground vehicles, legged creatures, and moving objects in VR environments. It's fast, flexible & robust. Built-in collision detection.
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pymatlab
A pythonic interface to MATLAB
...It is also possible to use MATLAB's to generate plots or other graphics. The package uses Numpy's ndarrays and translates them into MATLAB's mxarrays using Python's ctypes and Matlab's mx library. The interface to MATLAB's workspace in done through MATLAB's engine library. -
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DiagSim
Diagnostics simulation for particle accelerators
DiagSim is a collection of Python modules for simulating beam diagnostics in particle accelerators, at the moment only cavity BPMs, with other types of BPMs and other diagnostics to follow. Or so we think. Anyway, we use beam data exported from beam trackers, trace the signals through the diagnostics and processing, so that they can be processed as real data, and the input and measured beam parameters can be compared. -
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ktree
clustering, machine learning, algorithms
This project has moved to github at http://lmwtree.devries.ninja.
