Search Results for "linear least squares"
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Showing 69 open source projects for "linear least squares"
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1
statsmodels
Statsmodels, statistical modeling and econometrics in Python
statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open source Modified BSD (3-clause) license. Generalized linear models with support for all... -
2
JUDI.jl
Julia Devito inversion
... operators can also be used as layers in (convolutional) neural networks to implement physics-augmented deep learning algorithms thanks to its implementation of ChainRules's rrule for the linear operators representing the discre wave equation. -
3
Vedo
A python module for scientific analysis of 3D data
... or binary to VTK, STL, OBJ, PLY formats. Analysis tools like Moving Least Squares, mesh morphing and more. Tools to visualize and edit meshes (cutting a mesh with another mesh, slicing, normalizing, moving vertex positions, etc..). Split mesh based on surface connectivity. Extract the largest connected area. Calculate areas, volumes, center of mass, average sizes etc. Calculate vertex and face normals, curvatures, feature edges. Fill mesh holes. -
4
MultivariateStats.jl
A Julia package for multivariate statistics and data analysis
A Julia package for multivariate statistics and data analysis (e.g. dimensionality reduction). -
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Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several... -
6
Linfa
A Rust machine learning framework
linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks. -
7
ls-recession-indicator
Unemployment rate-based Least Squares Recession Indicator
This project attempts to create a machine learning model which predicts the probability of recession for any given month based on the current month plus the 11 prior months of U.S. U-3 unemployment rate data. It utilizes a linear regression / least squares algorithm. -
8
BioXTAS RAW
Processing and analysis of Small Angle X-ray Scattering (SAXS) data.
... (EFA) or the regularized alternating least squares (REGALS) methods. Active source code is now maintained on github: https://github.com/jbhopkins/bioxtasraw To install: Check the instructions available at: http://bioxtas-raw.readthedocs.io/en/latest/install.html and in the Files tab. User guides: RAW guides are available at: http://bioxtas-raw.readthedocs.io/ and in the Files tab. To contact us, see: https://bioxtas-raw.readthedocs.io/en/latest/help.html -
9
libLSE
Linear Least Squares solver library written in C
LSE is aimed to be used in signal processing on small embedded systems with single precision floating-point unit. The main goals are low precision losses on large datasets and low memory footprint. -
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Motofit co-refines Neutron and X-ray reflectometry data, using the Abeles matrix / Parratt recursion and least squares fitting (Genetic algorithm or Levenberg Marquardt). It works in the IGOR Pro environment (TM Wavemetrics).
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11
pySDAR
An implmenetation of the ASTM E3076-18 Standard
... record. The method assumes that there is a linear region early in the test record where the value of the y variable increases roughly in proportion to the x variable and the slope of the record decreases after the linear region. The practice determines the best linear fit to the data based on the least normalized residual and provides metrics for evaluating the quality of the test record and the quality of the resultant fit. Sponsored by Naval Nuclear Laboratory and the ASTM E3076 committee -
12
Java·Applied·Geodesy·3D
Least-Squares Adjustment Software for Geodetic Sciences
JAG3D is no longer developed at source-forge, and has moved to GitHub. Please visit https://github.com/applied-geodesy/jag3d or https://software.applied-geodesy.org to get the latest version. -
13
MensorGIS
Open Source Desktop GIS with Surveying and Cartography Functionality
Open Source Desktop GIS with Surveying and Cartography Functionality. Should be seen as a Learn-GIS with basic Algorithms and Functionality in VB.NET and C#.NET without usage of Software Libraries: CAD/GIS Data (DXF, ShapeFile, GML2, GPX, KML, CSV), Data Schema, Query, Analysis, Topology, Contours, Ortho-Image Registration, Least Squares Adjustment. Also world-wide Geodata of Countries and POIs are available. A companion Scriptum gives explanation about the Theory behind MensorGIS. -
14
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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15
Book-Reviews-In-Mathematica
Partial Differential Equations, Complex Analysis, Mathematica, Farlow
Cliff* Notes, Mathematica Evaluatable "Partial Differential Equations for Scientists and Engineers", Farlow "Physics for Scientists and Engineers", Serway "A First Course in Complex Analysis", Beck "PDE", Asmar "PDE, An Introduction", Colton "Elementary Differential Equations", 7th, Rainville "Ordinary Differential Equations", Tenenbaum "Linear Algebra And It's Applications", Lay "Swokowski Calculus", 5th, Swokowski "Chemistry Concepts & Problems, A Self-Teaching Guide", Houk... -
16
libRSF
A robust sensor fusion library for online localization
... problem can be solved by applying non-linear least squares optimization. -
17
LIPRAS, Line-Profile Analysis Software
Peak fitting GUI for diffraction data
LIPRAS v466 LIPRAS [LEEP-ruhs], short for Line-Profile Analysis Software, is a graphical user interface for least-squares fitting of Bragg peaks in powder diffraction data. For any region of the inputted data, user can choose which profile functions to apply to the fit, constrain profile functions, and view the resulting fit in terms of the profile functions chosen. If you use LIPRAS for your research, please cite it: Giovanni Esteves, Klarissa Ramos, Chris M. Fancher, and Jacob L. Jones... -
18
gumbel
Paper on using Gumbel Distributions in BLS algorithm
A short paper I hope to submit on some statistical properties of the Box Least Squares (BLS) Algorithm. It includes use the Gumbel extreme value distribution to establish the strongest ephemeris (hence the name), but also some other useful statistical results to make best use of the algorithm. -
19
Wharton models
Wharton models
Wharton proposed model is intended for the analytical study and assess the impact of Driving records (Investments, government contracts, taxes on business activity, government payroll) on indicators of the (national income, profit, fixed assets, consumption, payroll, labor productivity). Implemented windows_32. The purpose of the model - the forecast and assessment the efficiency of the economy. coefficients Wharton models are two-step method of least squares. -
20
Skalli
IVS & ILRS Reference Point Determination
Skalli is a simple tool to estimate the IVS (International VLBI Service for Geodesy and Astrometry) and ILRS (International Laser Ranging Service) reference point of a radio or laser telescope. -
21
plot.py
direct data plotting and evaluation
The Plot.py project tries to supply a measurement data visualization and treatment framework being easy to use while keeping the freedom for advanced users to execute additional data treatment algorithms. Plotting is done via gnuplot and the script used to produce the graphs can be exported for later use/changes. Many raw experimental data types (mostly of x-ray and neutron scattering experiments) are supported with more to be added on user request. The data treatment includes non-linear... -
22
lmfit - least squares fitting
Levenberg-Marquardt least squares minimization amd curve fitting.
A self-contained C library for Levenberg-Marquardt least-squares minimization and curve fitting. To minimize arbitrary user-provided functions, or to fit user-provided data. No need to provide derivatives. With application examples. -
23
SLAM++
high-performance nonlinear least squares solver for graph problems
SLAM++ is a minimalist implementation of incremental nonlinear least squares, containing lighting fast implementation of linear algebra on sparse block matrices. It is aimed for use in 3D reconstruction or robotics. -
24
AI learning
AiLearning, data analysis plus machine learning practice
..., and online earning community, with a QQ group of more than 10,000 people and at least 10,000 subscribers. The number of Github Stars exceeds 60k, and it ranks in the top 100 of all Github organizations. The daily up of all its websites exceeds 4k, and the peak of Alexa ranking is 20k. Our core members are certified as CSDN blog experts and short-book programmers as excellent authors. We have established ApacheCN, a non-profit document, and tutorial translation project. -
25
Math Template Library
An efficient template library for vector and matrix operations
Matrix and vector templated classes with operations accelerated using SSE, AVX, FMA, and OpenMP. Contains efficient methods to solve linear and non-linear least square problems with great numerical stability. Note that AVX and FMA acceleration is disabled by default since not many systems support it currently. These features can be easily enabled for the included tests using the CMake GUI. Currently, this software is getting tested with Microsoft Visual Studio 2012 Update 4 and g++ 4.9.3.