Geometric operations on polytopes of any dimension

CVXPY Portfolio Optimization Sample

A Solver for the Wavelength Assignment Problem (RWA) in WDM networks

No description provided.

Vectorize the Matlab/CVX for-loops as much as possible.

Solving Convex and Nonconvex Optimization Problems

Proposing a novel approach on using Naives Bayes by using Robust Kernel Density Estimation (RKDE) and optimising the bandwith(h) with Harris Hawks Optimization (HHO)

This code was written during the writing of my undergraduate thesis as a means to understand the inner details of Support Vector Machines. This includes a rough translation of the original \epsilon -SVR and \nu -SVR based on the C source code (https://www.csie.ntu.edu.tw/~cjlin/libsvm/))

Standalone KLU add-on for CVXOPT

The project Epsilon SVR is built from Scratch with minimum Sk Learn packages. This Epsilon SVR improves the SVR Model.

Desktop app for creating glaze recipes satisfying constraints on oxides and/or ingredients

Classification of a radially seperated dataset using SVM with RBF kernel using CVXOPT

Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)

Solving the Character recognition problem as an SVM optimization problem using CVXOPT

SVM implementation from scratch in python.

A collection of fundamental machine learning projects implementing Music Recommendation, Heart Disease Classification via SVM (including a custom solver), and various Regression techniques from scratch.

SVM algorithm for handwritten digit classification

No description provided.

Astronaut Spacewalk Scheduling for Satellite Repairs 🛠️🛰️

Support Vector Machines from scratch using CVXOPT library.

Simple SVM

Uplift modeling and estimation via the "Uplift Support Vector Machine".

This repo consist of the assignments and other code snippets of the module EN4553.

OOP Python project. Hypothetical retirement plan for NFL players. Final project for the ITAM's Standards of Actuarial Practice class (Spring 2016).

Convex Optimization and Polynomial System Solver with Dockerized Symbolic Computation via msolve, Sagemath & C++

SVM implementation for Binary and Multiclass classification using standard SVM library and Convex optimastion method

Implement hard/soft margin SVM from scratch using numpy and cvxopt.

No description provided.