Python library including some of the most common numerical methods, based on the course "Numerical Methods and Applications (MAT3121)" from Escola Politécnica da Universidade de São Paulo.
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Updated
Jul 13, 2024 - Python
Python library including some of the most common numerical methods, based on the course "Numerical Methods and Applications (MAT3121)" from Escola Politécnica da Universidade de São Paulo.
Deep.Imager - A Python based app powered by Streamlit! Upscales images using mathematical convolutions and Deep Learning without change/loss in input sharpness
Este é um repositório sobre meus estudos de Cálculo Numérico, no IFMA - Campus Imperatriz.
Numerical interpolations using Newton's, Lagrange's, and spline polynomials in Python.
Interpolation component for grib2io interfacing to the NCEPLIBS-ip library
GeoKrige is a Python package designed for spatial interpolation using Kriging Methods. While primarily tailored for geospatial analysis, it is equally applicable to other spatial analysis tasks.
This repo contains the source code of the paper "Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques".
This repo contains code for Applied numerical methods that are taught in engineering undergrad degrees.
some interesting mathematical problems in python
Image interpolation implementation using pure python and compare result with Opencv.
Laboratory Work Numerical Analysis nr.2 at TUM. This laboratory work was dedicated to Numerical Approximation and Interpolation, and consists of 4 tasks that I have done.
Python package for Inverse Path-Distance Weighted interpolation
Pure-Python implementation of Lagrange interpolation over finite fields.
Usage of a drone as a mobile receiver and custom written interpolation algorithm allows for a 3dimensional map of the signal strength in the surveyed area
This repository presents the Colour Pattern Regression (CPR) algorithm QGIS3 plugin. The code determines the relationship between aerial images and raster maps according to the decomposition into RGB spaces of the aerial images and the calculation of a linear regression with the raster map using three coefficients - one for each RGB space.
Non parametric, polytope interpolation framework for use with deep learning models
Interpolate curves between given points on a plane by a series of uniformly accelerated motions.
This repository presents the Colour Pattern Regression (CPR) algorithm QGIS3 plugin. The code determines the relationship between aerial images and raster maps according to the decomposition into RGB spaces of the aerial images and the calculation of a linear regression with the raster map using three coefficients - one for each RGB space.
🎓 My university course in numerical analysis from Fedor Sergeevich Peplin. Here you can find some implemented algorithms from this subject with a brief description.
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