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.

Trilateration example using least squares method in scipy

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

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

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

Randomized Extended Kaczmarz (C++)

Regularized least-squares algorithm over the empirical risk minimization

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).

Fit-o-mat - a versatile program for nonlinear least-squares fitting