A Python-embedded modeling language for convex optimization problems.
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Updated
May 14, 2024 - C++
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).
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.
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
Formulate trained predictors in Gurobi models
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 next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT
Neuromorphic mathematical optimization with Lava
Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
Fortran bindings for the NLopt library
Distances to sets for MathOptInterface
Pure Python solver for the multi-way partition problem
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
A simple implementation of the Benders decomposition method with JuMP
Implementation of different techniques to solve the Set Covering Problem (SCP).
ENOPPY: A Python Library for Engineering Optimization Problems
C++ Optimization Library
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