Skip to content
You signed in with another tab or window. to refresh your session.
You signed out in another tab or window. to refresh your session.
You switched accounts on another tab or window. to refresh your session.
#
tikhonov-regularization
Here are
14 public repositories
matching this topic...
Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.
👁 L2-regularization-ridge-regression-course
L2 regularization, or Ridge regression, is a technique to prevent overfitting in machine learning by adding a penalty proportional to the sum of squared weights to the loss function. It forces weights to be small but rarely zero, resulting in a smoother, more stable model. Solver
A Julia package to perform Tikhonov regularization for small to moderate size problems.
Non-parametric T2 relaxometry methods for myelin water quantification
👁 ilt
🔬 Numerical routines to inverse the Laplace Transform for semiconductor Deep Level Transient Spectroscopy. To cite: Vasilev, A. (2024). Numerical Inverse Laplace Transform for Deep-Level Transient Spectroscopy. https://doi.org/10.5281/zenodo.10462383
pyDCONTINPALS - A Python program for running the historical FORTRAN code CONTIN-PALS which solves Fredholm integral equations with convoluted exponential decays as kernels of the type that occur in the analysis of Positron Annihilation Lifetime Spectra (PALS).
Python solver for Fredholm integral equation of the first kind.
Primal-Dual algorithm for smooth regularization of non-smooth optimization functions
A set of utilities for obtaining a Born cross section using visible cross section data
Прямая задача об установившихся продольных колебаниях стержня
Solving an integral equation with the Tikhonov regularization method
Boundary reconstruction in double-connected planar domains
Polynomial (Ridge) Regression on Riemannian Manifolds for Time-Series Prediction
Improve this page
Add a description, image, and links to the
tikhonov-regularization
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
tikhonov-regularization
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.