datareduction

There are 12 repositories under datareduction topic.

  • KaMIS

    KarlsruheMIS/KaMIS

    Maximum independent sets and vertex covers of large sparse graphs.

    Language:C++6961927
  • dpscience/DCONTINPALS

    pyDCONTINPALS - A Python program for running the historical FORTRAN code CONTIN-PALS which solves Fredholm integral equations with convoluted exponential decays as kernels of the type that occur in the analysis of Positron Annihilation Lifetime Spectra (PALS).

    Language:Fortran4312
  • dpscience/MELTail

    A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

    Language:MATLAB3100
  • mrlb05/Nifty4Gemini

    A Gemini Data Reduction Pipeline Framework

    Language:Python3123
  • dpscience/pyTailFit

    pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.

    Language:Python110
  • antemooo/DRRA

    Data Representation and Reduction analysis project

    Language:Python0100
  • chenyingshu/csic5011_project2

    HKUST CSIC 5011 / MATH 5473 Final Project

    Language:Jupyter Notebook0200
  • FunctQuant

    elamrireda/FunctQuant

    This package contains functions that provide a greedy functional quantization and also the optimal grid.

    Language:R00
  • kcotar/NEON-observing-school-data-reduction

    Scripts for reduction of data acquired during the NEON Observing Summer School 2017

    Language:Python0200
  • satyamkapoor/project_dataanalysis

    This project is a part of course Data Representation, Reduction & Analysis. Given 20,000 tweets from London region and we had to cluster then using K-means and DBSCAN after preprocessing of data. Written in python and implemented in jupyter notebook.

    Language:Jupyter Notebook0201
  • ThanSam/Data-Editing-and-Reduction

    A project for the lesson of Knowledge Discovery from Databases. Normalizing values, ENN and IB2 algorithms are implemented. Tested with iris.csv dataset.

    Language:Python0100
  • ankitk2109/Data_Mining

    Language:Jupyter Notebook10