A Python-embedded modeling language for convex optimization problems.

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

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.

OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.

A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

Formulate trained predictors in Gurobi models

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

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

Fortran bindings for the NLopt library

This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI

Distances to sets for MathOptInterface

Pure Python solver for the multi-way partition problem

Two-Stage Robust Rostering Problem from the nested C&CG paper

A simple implementation of the Benders decomposition method with JuMP

ENOPPY: A Python Library for Engineering Optimization Problems