Fit a first-order (exponential) decay to a signal using scipy.optimize.minimize
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Updated
Mar 18, 2017 - Python
Fit a first-order (exponential) decay to a signal using scipy.optimize.minimize
Fits one of three functions (inverse quadratic, bell-shaped, or waiting-in-line) to x, y data using nls.
R package for Variable Selection, Curve Fitting, Variable Conversion and Normalisation
Use Tensorflow to demonstrate the ability of linear systems with activation functions to simulate non-linear functions.
Analysis resources for the Inter IIT Tech Meet 9.0 problem statement by ISRO: Web-based visualization tool for AstroSat observations
Random Sample Consensus (RANSAC) Python Implementation
Very fast maths library implemented in C.
Multi Variable Non linear curve fit apply to material characterization in dynamic behavior.
Fork of Eric Rehm's How to fit a Bézier curve to a set of data?
A C++ program for real-time hardware interfacing and data processing, featuring curve-fitting algorithms and configurable compiler features.
GeneticCurveOptimizer : A Genetic Algorithm for Curve Fitting in C++. Optimize polynomial coefficients to minimize the distance between the curve and given data points. Customizable parameters for efficient optimization. Try it for accurate and dynamic curve fitting!
Python implementation of RANSAC algorithm
水利计算中 P3 曲线的绘制与适线
ML tool to detect peaks in 1D XRD scattering data
Sckit_Learn Basic curve fitting use LinearRegression model
Applying the Least-Square-Method to Curve-Fit in python using Numpy.
A new CV technique combining polarization optical microscopy, fluorescence microscopy, and image segmentation
Miniprojects
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