There are 9 repositories under mathematical-optimization topic.
AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
A highly customizable SQP & barrier solver for nonlinearly constrained optimization
OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
Formulate trained predictors in Gurobi models
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
YiShape-Math is a Java math library that provides NumPy-like functionalities including vector & matrix operations, data visualization, statistics, optimization, time series, signal processing, audio analysis, image processing and machine learning models.
Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.
Neuromorphic mathematical optimization with Lava
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
Fortran bindings for the NLopt library
Distances to sets for MathOptInterface
Two-Stage Robust Rostering Problem from the nested C&CG paper
Nonlinear programming application examples solved with Artelys Knitro
Pure Python solver for the multi-way partition problem
ENOPPY: A Python Library for Engineering Optimization Problems
SemiDefinite Programming Algorithm (SDPA) for Python
Implementation of different techniques to solve the Set Covering Problem (SCP).
A simple implementation of the Benders decomposition method with JuMP
C++ Optimization Library
Libraries for reading/writing MIP problem files, invoking external MIP solvers, etc. in Haskell
Machine Learning Specialization course offered by DeepLearning.AI on Coursera
A simple JavaScript library implementing the Bat Algorithm for optimization problems.
This is a repo for graduate computational statistics problem sets and class information/data.
This repository contains the code examples of the book "Einführung in Optimierungsmodelle" ("Introduction to Optimization Models") (Sudermann-Merx, 2023)
Optimize both discrete and continuous variables using just a continuous optimizer such as in scipy.optimize
NLPModel where all functions are defined by the user
An energy optimization linear problem using a combination of Operations Research (OR) and Machine Learning (ML) including sensitivity and parametric analysis, stochastic programming, robust optimization, and ML-assisted optimization
Maintained fork of SDPA-GMP with an Application Binary Interface
Randomized linear algebra-based methods for optimization and scientific computing in PyTorch.