least-square-regression

There are 3 repositories under least-square-regression topic.

ankitdhall / Vanishing-Point-Detector
Vanishing Point detection for images and videos using Least Squares in C++
image-processing vanishing-points detector vector least-squares least-square-regression image-analysis linear-algebra regression video
Language:C++ 73
feng-li / dlsa
Distributed least squares approximation (dlsa) implemented with Apache Spark
distributed-computing least-square-regression pyspark spark spark-ml
Language:Python 39
baggepinnen / TotalLeastSquares.jl
Solve many kinds of least-squares and matrix-recovery problems
estimation least-squares least-square-regression linear-regression errors-in-variables total-least-square singular-value-decomposition robust-pca robust-regresssion robust-estimation robust-statistics matrix-completion missing-data imputation missing-data-imputation nonnegative-matrix-factorization outlier-detection
Language:Julia 31
faizanxmulla / CS2007-machine-learning-techniques
Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.
classification clustering regression decision-trees iitmadrasonlinedegree knn lasso-regression least-square-regression naive-bayes-classifier neural-network perceptron random-forest ridge-regression
Language:Jupyter Notebook 26
ramesaliyev / numerica
Numerical analysis methods implemented in Python.
numerical-analysis numerical-methods numerical-integration numerical-differentiation gauss-jordan-elimination newton-raphson bisection-method regula-falsi graph-method fixed-point-iteration secant-method jacobi gauss-seidel euler-methods trapezoidal simpson lagrange regression least-square-regression
Language:Python 22
MagedMohamedTurk / Turbomachinery-Rotors-Balancing
Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.
rotor-dynamic optimization cvxpy cvxpy-python-library linear-programming linear-regression linear-models lmi optimization-algorithms optimization-methods least-square-regression convex-optimization semidefinite-programming mixed-integer-programming turbine compressor rotor-blades python3 python-script jupyter-notebook
Language:Python 18
anubhavparas / ransac-implementation
RANSAC (RANdom SAmple Consensus) Algorithm Implementation
least-square-regression python random-sample-consensus ransac ransac-algorithm
Language:Python 17
madfolio / Least-Squares-Trilateration
Trilateration example using least squares method in scipy
trilateration least-square-regression nonlinear-optimization surveying gis navigation gps
Language:Jupyter Notebook 16
ndrearu / curve_fit_utils
**curve_fit_utils** is a Python module containing useful tools for curve fitting
data-science data-analysis statistical-analysis statistics regression fitting curve-fitting least-squares least-square-regression non-linear-regression chisquare confidence-intervals bootstrap-resampling jackknife bootstrap-method statistical-tests prediction-intervals prediction-band confidence-band
Language:Python 14
gsubramani / robust-nonlinear-regression
Robust Regression for arbitrary non-linear functions
robust fitting fitting-algorithm least-square-regression bayesian-statistics python nonlinear-regression outlier-detection numpy ransac bayesian-updates iteration robust-regression
Language:Python 13
zolabar / trendPy
Time Series Regression with Python
binder fourier-transform heroku-deployment least-square-regression numpy optimization plotly regression voila-dashboard
Language:Jupyter Notebook 11
minzhang-1 / PointHop-PointHop2_Spark
A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
spark 3d point-cloud classification 3d-classification knn pca pyspark python feature-extraction least-square-regression
Language:Python 10
aabramovrepo / python-projects-blog
Some useful algorithms implemented in Python
kd-tree particle-filter ransac waymo-dataset waymo-open-dataset segmentation image-segmentation least-square-regression least-squares modeling robust-least-squares convex-hull convex-hull-algorithms
Language:Python 8
nyakasko / LO-RANSAC-3DPlaneFitting
Implementation of the Locally Optimized Random SAmple Consensus (LO-RANSAC) 3D plane fitting algorithm
least-square-regression lo-ransac opencv plane-fitting pointcloud ransac
Language:C++ 7
dpscience / DLTReconvolution
DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method
analysis convolution decay-spectrum decomposition deconvolution exponential-distributions fls fluorescence fourier-transform ill-posed inverse-problems least-square-regression least-squares lifetime-spectra lifetime-spectroscopy multi-exponential pals positron-lifetime-spectra python reconvolution
Language:Python 6
least-squares-regression
jaimedantas / least-squares-regression
Regularized least-squares algorithm over the empirical risk minimization
erm least-square-regression least-squares machine-learning-algorithms polynomial-regression rlm
Language:MATLAB 5
TheAngulion / fit-o-mat
Fit-o-mat - a versatile program for nonlinear least-squares fitting
python nonlinear-optimization least-square-regression plotting data-analysis
5
vincent27hugh / myRegression-Python
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
bayesian-regression lasso least-square-regression regularized-linear-regression robust-regresssion
Language:Python 5
yaniv-shulman / rsklpr
Robust locally weighted multiple regression in Python
machine-learning regression statistics polynomial-regression robust-statistics locally-weighted-regression robust-regression least-square-regression python python3 mit-license
Language:Python 5
zouzias / REK-CPP
Randomized Extended Kaczmarz (C++)
cpp eigen least-square-regression least-squares rek
Language:C++ 5
dpscience / DQuickLTFit
DQuickLTFit - A least-square fitting tool for the analysis of positron lifetime spectra using the Levenberg-Marquardt algorithm
lifetime-spectroscopy pals levenberg-marquardt least-square-regression fitting analysis decay-spectrum annihilation positrons antimatter levenberg-marquardt-algorithm qt-framework positron-lifetime-spectra mpfit fluorescence-microscopy-imaging fls multi-exponential exponential-distributions
Language:C++ 4
GOWone / PolynomialCurveFitting
基于.Net Framework/WPF框架开发的、通过最小二乘法实现的多项式曲线拟合软件
csharp curve-fitting least-square-regression wpf-application
Language:C# 4
HPQC-LABS / potfit
Fits an anlalytic potential energy curve in order to reproduce spectroscopic or ab-initio data
chemistry computational-chemistry computational-physics curve-fitting diatomic-molecules energy fitting least-square-regression least-squares machine-learning mathematical-modelling physics potential quantum quantum-chemistry quantum-computing quantum-mechanics spectroscopy statistical-analysis statistics
Language:Roff 4
animeshsingh04 / LinearRegression
This contains an array of python notebooks which describes the linear Regression Implementation with multiple ways which internally using different Gradient Descent Algorithm
python machine-learning sklearn linear-regression jupyter-notebook gradient-descent least-square-regression
Language:Jupyter Notebook 3
mew-two-github / Climate-Economics-Project
Analysis of income inequality and pollution (water and air) in India.
arima econometric-analysis econometrics least-square-regression matlab
Language:MATLAB 3
MShawon / Numerical-Method
Several numerical methods are provided here written in Python.
curve data-fitting exponential-fitting fitting-curve least-sqaure-method least-square-regression numerical-methods python straight-line-fitting
Language:Python 3
sammylton / Numerical-Methods-in-FORTRAN
My codes for the courses of Computer Programming, and Numerical and Computational Physics at IITR
simpson-rule monte-carlo newton-raphson trapezoidal-method sorting-algorithms bubble-sort insertion-sort palindrome gauss-elimination gauss-jordan euler-method modified-euler-method runge-kutta-methods lu-decomposition linear-regression least-square-regression
Language:Fortran 3
Abhishek-EE / Polynomial_Regression
A simple code to understand polynomial regression for curve fitting
linear-regression polynomial-regression mmse least-square-regression
Language:Jupyter Notebook 2
AndrePatri / moving_horizon_jnt_calib
Rotor's dynamics calibration tests combining XBot2 rt plugins and a simple approach to linear MHE.
bldc-motor-control control moving-horizon-estimation least-square-regression rotor-dynamics
Language:C++ 2
bharadwaj-chukkala / Curvefitting-Least_Squares-Homography-and-RANSAC
Homework 1 for the course ENPM667: Perception for Autonomous Robots
curve-fitting homography least-square-regression ransac-algorithm
Language:Python 2
hidiryuzuguzel / Machine-Learning-Examples
bayesian-classifier gaussian-classifier handwritten-digit-recognition k-means-clustering linear-svm density-estimation adaboost pca precision-recall-curve auto-regressive-model sales-prediction least-square-regression
Language:Jupyter Notebook 2
vspaz / wls-python
WLS, weighted linear regression, weighted least squares in pure Python w/o any dependencies.
python python3 least-square-fit least-square-regression weighted-linear-regression weighted-regression wls least-squares python-module
Language:Python 2
vspaz / wls-rs
WLS, weighted linear regression in pure Rust w/o any 3d party dependencies or frameworks.
least-sqaure-method least-square-fit least-square-regression rust rust-lang rust-library weighted-regression weighted-linear-regression wls
Language:Rust 2
ODERECON
aikarimov / ODERECON
A set of codes in MATLAB for ODE reconstruction using least-square method
least-square-regression ode-model system-identification
Language:MATLAB 1
marija-iloska / jpls_python
Jump Predictive Least Squares for Online Feature Selection
feature-selection least-square-regression online-learning predictive-modeling
Language:Jupyter Notebook 1
Stee-T / rFOrLSR
Machine learning library for symbolic fitting: the unknown system/function is described via NARMAX algebraic expressions being linear combinations of arbitrary non-linear terms provided by the user (like 0.2x²+0.7sin(x) or x[k-1]*y[k-4]^2).
equation-solver gpu-acceleration least-square-regression machine-learning narmax symbolic-regression
Language:Python 1

least-square-regression

ankitdhall / Vanishing-Point-Detector

feng-li / dlsa

baggepinnen / TotalLeastSquares.jl

faizanxmulla / CS2007-machine-learning-techniques

ramesaliyev / numerica

MagedMohamedTurk / Turbomachinery-Rotors-Balancing

anubhavparas / ransac-implementation

madfolio / Least-Squares-Trilateration

ndrearu / curve_fit_utils

gsubramani / robust-nonlinear-regression

zolabar / trendPy

minzhang-1 / PointHop-PointHop2_Spark

aabramovrepo / python-projects-blog

nyakasko / LO-RANSAC-3DPlaneFitting

dpscience / DLTReconvolution

jaimedantas / least-squares-regression

TheAngulion / fit-o-mat

vincent27hugh / myRegression-Python

yaniv-shulman / rsklpr

zouzias / REK-CPP

dpscience / DQuickLTFit

GOWone / PolynomialCurveFitting

HPQC-LABS / potfit

animeshsingh04 / LinearRegression

mew-two-github / Climate-Economics-Project

MShawon / Numerical-Method

sammylton / Numerical-Methods-in-FORTRAN

Abhishek-EE / Polynomial_Regression

AndrePatri / moving_horizon_jnt_calib

bharadwaj-chukkala / Curvefitting-Least_Squares-Homography-and-RANSAC

hidiryuzuguzel / Machine-Learning-Examples

vspaz / wls-python

vspaz / wls-rs

aikarimov / ODERECON

marija-iloska / jpls_python

Stee-T / rFOrLSR