Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

Symbolic Fitting; fitting as it should be.

Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)

Fitting an Ellipse using a Least Squares method, in Python

Find ellipsoid fit for arbitrary data with python/numpy, plot it or write to file.

L1-regularized least squares with PyTorch

GPU/TPU accelerated nonlinear least-squares curve fitting using JAX

My collection of implementations of adaptive filters.

Solve symbolically defined systems of non-linear equations numerically.

Python-based Derivative-Free Optimizer for Least-Squares

3D pose estimation of an RGB-D camera using the least squares technique

Code for RA-L work "Deep Probabilistic Feature-metric Tracking"

DFO-GN: Derivative-Free Optimization using Gauss-Newton

🛰️ Double Differencing: Main method of high precision commercial positioning. This method requires two high grade GNSS receivers. In this case a reference, and a (static or kinematic) rover receiver.

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

Indoor Positioning System Using Bluetooth RSSI and Trilateration. ESP32's as receivers.

A python program that applies a choice of nonnegative matrix factorization (NMF) algorithms to a dataset for clustering.

Fitting the Hill Equation to Experimental Data