AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file

Introduction to Numerical methods

Personalization of the image enhancement style from few samples.

🚀 InterpolatePy: A fast and precise Python library for production-ready trajectory planning, offering 20+ algorithms for C² continuous splines, jerk-limited S-curves, and quaternion interpolation for robotics, animation, and scientific computing.

Python and C++-based N-dimensional signal-processing library with support for GPU computing.

Interpolate data given on an N-d box grid, uniform or non-uniform, using numpy and scipy

Introduction to Numerical methods

VolSplinesLib is a Python library for interpolating implied volatility surfaces using various volatility models. The library provides tools for fitting and interpolating models to market data, supporting popular methods like RFV, SLV, SABR, and SVI.

Interpolate cubic spline using tridiagonal matrix algorithm

Lagrange Interpolation, Bezier Spline, Cardinal Spline for Computer Graphics Project

Short implementation of a EGRSS matrix format including an application example in smoothing spline fitting.

2D/1D curve fitting via spline interpolation.

Tasks from Numerical Analysis course

🤖 Educational multi-robot path planning system with intelligent waypoint optimization for robotics education | Python + PyQt5

A spline curve drawer with FLASK

This repo is just for testing diffrent splines, B-spline, Catmull-Rom spline and NURBS

This is a racetrack generator that creates tracks as similar as possible to Formula Student tracks.

An application that illustrates the efficacy of different curve fitting and interpolation models.

3-D visualizations for SPI2 systems.

A cubic spline calculator in Python 3