Design, monitor and price your own exotic financial derivatives contracts.

Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.

Insert trained predictors in Gurobi models

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

Neuromorphic mathematical optimization with Lava

Tutorial on neuromorphic computing with Lava, hosted at the AutoML Fall School 2023

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

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

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

ENOPPY: A Python Library for Engineering Optimization Problems

A fast, scalable, data-driven approach for solving relaxations of 0-1 integer linear programs on GPU.

A comprehensive collection of implementations and resources related to the SIMPLEX algorithm.

Distances to sets for MathOptInterface

A next-generation solver for nonlinearly constrained nonconvex optimization. Modern, modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization strategies (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP and CONOPT

Declarative and MILP approaches to service placement, reconciled

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

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

Scaled Gradient Projection (SGP) algorithm with beta divergence

My notes and exercises from the course "Operations research 1: Models and applications", offered by the National Taiwan University, taken through Coursera.

A simple JavaScript library implementing the Bat Algorithm for optimization problems.

This repository contains my coursework and projects completed during the Deep Learning Specialization offered by DeepLearning.AI and Stanford Online.

NLPModel where all functions are defined by the user

Libraries for reading/writing MIP problem files, invoking external MIP solvers, etc. in Haskell

Deep Learning Specialization course offered by DeepLearning.AI on Coursera

A simple implementation of the Benders decomposition method with JuMP

A web application for mathematical optimization

Contains solutions and notes for the Deep Learning Specialization by Deeplearning.ai, Andrew Ng on Coursera

Lecture notes, resources and programming assignments taken from the specialized deep learning program (a sequence of courses all related to deep learning) offered by DeepLearning.AI on coursera.

Fortran bindings for the NLopt library