Vanishing Point detection for images and videos using Least Squares in C++

Distributed least squares approximation (dlsa) implemented with Apache Spark

Solve many kinds of least-squares and matrix-recovery problems

Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.

Numerical analysis methods implemented in Python.

RANSAC (RANdom SAmple Consensus) Algorithm Implementation

Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.

**curve_fit_utils** is a Python module containing useful tools for curve fitting

Trilateration example using least squares method in scipy

Robust Regression for arbitrary non-linear functions

Time Series Regression with Python

A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.

Some useful algorithms implemented in Python

Implementation of the Locally Optimized Random SAmple Consensus (LO-RANSAC) 3D plane fitting algorithm

Robust locally weighted multiple regression in 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).

DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method

Regularized least-squares algorithm over the empirical risk minimization

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

Randomized Extended Kaczmarz (C++)