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.

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