Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
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Updated
Nov 13, 2022 - Python
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.
Robust Regression for arbitrary non-linear functions
Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets
SciPy style API for NLopt
simple codes, useful in data analysis for physics student
CSE 569, Fall 2019 Fundamentals of Statistical Learning Course at ASU
Django site for 2D/3D curve and surface fitting via pyeq3. Modernized, cross-platform fork of zunzunsite3 (bitbucket.org/zunzuncode, 2016). Python 3.14, Django 6.0, BSD-2-clause.
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
universal rank-order method to analyze noisy data
Nonlinear Regression based on scikit-learn.
Adaptive nonlinear function combination fitter for 5-dimensional data
TensorFit is an open source package for curve fitting.
A Streamlit web app that predicts weekly product sales based on advertising budgets for TV, Radio, and Newspaper using a 2‑degree Polynomial Regression model. The model captures the non‑linear, diminishing‑returns effect of media spend, helping marketers optimize budgets for maximum ROI.
Pulses analysis using mysql server for data saving
Data Mining Fall 2020
Computational Linear Algebra - Python
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