abnerbog / levenberg-marquardt-methodLinks
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
☆97Updated 2 years ago
Alternatives and similar repositories for levenberg-marquardt-method
Users that are interested in levenberg-marquardt-method are comparing it to the libraries listed below
Sorting:
- Python code for the linear inverse problem☆24Updated 2 years ago
- numba accelerated interpolation on regular grids in 1, 2, and 3 dimensions☆69Updated 3 years ago
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆121Updated this week
- MCMC toolbox for Matlab☆94Updated 4 years ago
- PySensors is a Python package for sparse sensor placement☆93Updated 3 weeks ago
- Methods for numerical differentiation of noisy data in python☆122Updated last week
- Differentiate noisy signals with total variational regularization in Python and Mathematica☆24Updated 3 years ago
- Python package containing the tools necessary for radial basis function (RBF) applications☆248Updated 2 months ago
- Generator of 2D gaussian random fields☆50Updated 3 years ago
- scikit-fmm is a Python extension module which implements the fast marching method.☆301Updated 2 months ago
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆30Updated 6 years ago
- Two-dimensional Savitzky-Golay filter☆31Updated 4 years ago
- Cubic spline approximation (smoothing)☆172Updated last week
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- MyPTV is an open source library designed for 3D particle Tracking (3D-PTV) measurements☆61Updated last month
- The natural Helmholtz-Hodge decomposition☆28Updated 5 years ago
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆228Updated 2 years ago
- The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which i…☆41Updated 10 months ago
- Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.☆50Updated 4 years ago
- Materials for the PyVista workshop from the Transform 2021 Virtual Conference☆44Updated 3 years ago
- Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…☆53Updated 2 years ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆323Updated 3 weeks ago
- This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learn…☆125Updated 2 weeks ago
- Fast Marching (FM) method implementation in Matlab and C++☆46Updated 2 years ago
- Implementation of a polyhedral gravity model in C++17 with a Python Binding☆31Updated this week
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆89Updated last year
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆81Updated 2 months ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆78Updated last year
- A collection of forward and inverse Mie solving routines for Python 3, based on Bohren and Huffman's Mie Theory derivations☆116Updated 9 months ago
- MATLAB code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems☆102Updated 3 years ago