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Search results for c plus plus data analysis
c-plus-plus
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data-analysis
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59 search results found
Cudf
⭐
6,936
cuDF - GPU DataFrame Library
Matplotplusplus
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3,496
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Xlearn
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3,000
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Root
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2,329
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Dataframe
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2,129
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Datatable
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1,763
A Python package for manipulating 2-dimensional tabular data structures
Tiledb
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1,700
The Universal Storage Engine
Paraview
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1,143
VTK-based Data Analysis and Visualization Application
Veles
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685
Binary data analysis and visualization tool
Geoda
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621
GeoDa: An introduction to spatial data analysis
Onedal
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584
oneAPI Data Analytics Library (oneDAL)
Ttk
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386
TTK - Topological Data Analysis and Visualization - Source Code
Histogram
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285
Fast multi-dimensional generalized histogram with convenient interface for C++14
Gdl
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251
GDL - GNU Data Language
Freud
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248
Powerful, efficient particle trajectory analysis in scientific Python.
Volbx
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227
Graphical tool for data manipulation written in C++/Qt.
Labplot
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212
LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
Graphia
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209
A visualisation tool for the creation and analysis of graphs
Openturns
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203
Uncertainty treatment library
Alphaplot
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199
📈 Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.
Nebula
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144
A distributed block-based data storage and compute engine
Dream3d
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141
Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.
Rsgislib
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130
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
Rfast
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123
A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. Note 2: Do not have matrices or vectors with have missing data (i.e NAs). We do no check about them and C++ internally transforms them into zeros (0), so you may get wrong results. Note 3: In general, make sure you give the correct input, in order to get the correct output. We do no checks and this is one of the many reasons we are fast.
Scidavis
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123
SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.
Hydra
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104
Header only framework for data analysis in massively parallel platforms.
Rivet
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63
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
Sgd
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53
An R package for large scale estimation with stochastic gradient descent
Genieclust
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53
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
Vinum
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44
Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
3d Forest
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41
Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins.
Libmaxdiv
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41
Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
Executiongraph
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36
Fast Generic Execution Graph/Network
Nptool
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27
NPTool, a ROOT/Geant4 based framework for Nuclear Physics
Morphie
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22
A tool for data analysis with graphs.
Genie
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21
Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
Algo Trading
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21
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
R3broot
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18
Framework for Simulations and Data Analysis of R3B Experiment
Svr.jl
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18
Support Vector Regression for Unsupervised Machine Learning
Amptools
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18
A utility library for performing amplitude analysis on particle physics data.
Ctbench
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17
Compiler-assisted variable size benchmarking for the study of C++ metaprogram compile times.
Data Workbench
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14
Data processing tool software developed by QT(CPP)
Pwwmap
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13
map and nosql database
Machinelearning
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13
From linear regression towards neural networks...
Numere
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12
Framework for numerical computations, data analysis and visualisation
Libmep
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11
Multi Expression Programming - complex library for data analysis, symbolic regression, classification
Vif
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11
Easy, robust, and fast numerics in C++.
Relxill
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10
X-ray Astrophysics local model for Relativistic Reflection
Eagleeye
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8
🦅 Quick and painless real-time wireless network monitor
Contour Tree
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8
Topological Data Analysis using Contour Trees
Design And Analysis Of Algorithms
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8
Algorithms and Data Structures.
Pygeoda
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8
pygeoda is a python library for spatial data analysis based on C++ libgeoda
Anlnext
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7
A modular data analysis framework
Gpu Cuda Self Organising Maps
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7
🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU
Foamalgo
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7
Algorithms for blazingly fast data analysis at scientific user facilities
Newquant
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6
A C++ library for data analysis and financial engineering computation.
Statistical
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6
Descriptive statistics such as mean, geometric mean, maximum, minimum, sample standard deviation and standard error, median, mode, coefficient of variation, and linear regression. Written for various data type arrays
Simplnx
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5
The backend algorithms and framework associated with DREAM3DNX, a data analysis program for materials science data analytics
Fastqda
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5
A free and fast alternative for qualitative-data-analysis (like MaxQDA)
Meteor
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5
🚆 Fine-grained analysis and visualization of Hangzhou Metro for efficient traveling in metro system. Project report, slide and presentation video included.
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