GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
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Updated
Feb 29, 2024 - C++
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
Define, build, and evaluate machine learning models for real-world applications
Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB
Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
Ceres.js is a javascript port of the Ceres solver. Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems. It is a mature, feature rich, and performant library.
**curve_fit_utils** is a Python module containing useful tools for curve fitting
C++ wrapper of gsl non-linear least-squares fit.
Household-Power-Consumption Machine Learning Project
This is Repository in which I will upload projects done in MTH 686 A in IIT Kanpur . The course instructor is our favorite and respected Sir Debashis Kundu
Machine learning concepts implemented in python.
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
This repository is intended to provide a slideshow of classification models, with a focus on the statistical properties of each approach. Specifically, a wide variety of both linear and non-linear methods are adopted and then compared, ranging from Linear Probability Model and Logistic Regression to Quadratic Discriminant Analysis and Generalise…
Machine Learning Techniques (Regression, Classification, Classifier, Support Vector Machines, Clustering)
Using various non-linear regression models the HR team of a company tries to predict whether the expected salary quoted by an interviewee is suitable for his position or not.
ANFIS Non-Linear Regression for Average Localization Error Dataset
This project is on Data Mining process using R depending on ISLR book.
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