Implemented codes for CSE2201, CSE2202

Neural Networks in C++17

Implementation of multivariate regression and classification using an adaptive neuro-fuzzy inference system (Takaki-Sugeno) and metaheuristic optimization.

Simple implementation of the K-Nearest Neighbour algorithm

Genetic-Programming

A basic Machine Learning library in C++ [under progress]

Linear Least Squares Regression with Eigen Dense Solver using QR decomposition and LU decomposition.

Polynomial Regression - Generalized

Determine graph equation from image

Predict the cost of a CMAPD assignment with XGBoost regression

This folder consists multiple Machine Learning Regression algorithm implemented using c++.

Finds a regression equation which can be very important for predictions, etc. Also finds the respective errors.

Moving Linear Regression in C++

A malloc-free Levenberg-Marquardt optimizer for nonlinear least squares regression

Lane detection is a crucial step in training autonomous driving cars. It helps identify and avoid entering other lanes by analyzing visual input. Lane recognition algorithms play a vital role in ADAS and autonomous vehicle systems. They accurately detect lane locations and borders, contributing to safe and reliable navigation.

Testing repository for the Asp Scripting Platform for embedded systems. Includes an Asp engine fuzz tester and Asp test scripts for regression testing. MIT license.

Simple libtorch example that predict circle points

Compilation of multiple projects that display projects using R and Python to analyze a variety of datasets

Will be a Gaussian Process library, aiming to cover regression, classification and latent space modelling.

Repository of the Hackathon 2021 Project.