mathematical-optimization
There are 85 repositories under mathematical-optimization topic.
cvxpy/cvxpy
A Python-embedded modeling language for convex optimization problems.
apache/incubator-kie-optaplanner
AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
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.
ebrahimpichka/awesome-optimization
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
cvanaret/Uno
A highly customizable SQP & barrier solver for nonlinearly constrained optimization
apache/incubator-kie-optaplanner-quickstarts
OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
optapy/optapy
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
Gurobi/gurobi-machinelearning
Formulate trained predictors in Gurobi models
avaneev/biteopt
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
ScaleFree-Tech/yishape-math
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.
VanekPetr/investment-funnel
Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.
lava-nc/lava-optimization
Neuromorphic mathematical optimization with Lava
ahsan-83/Deep-Learning-Specialization-Coursera
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
TheKidPadra/DeepLearning.AI-Deep-Learning-Specialization
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
grimme-lab/nlopt-f
Fortran bindings for the NLopt library
matbesancon/MathOptSetDistances.jl
Distances to sets for MathOptInterface
shepardyan/Nested-Column-and-Constraint-Generation-nested-C-CG-for-Two-Stage-Robust-Optimization
Two-Stage Robust Rostering Problem from the nested C&CG paper
Artelys/knitro-modeling-examples
Nonlinear programming application examples solved with Artelys Knitro
fuglede/numberpartitioning
Pure Python solver for the multi-way partition problem
thieu1995/enoppy
ENOPPY: A Python Library for Engineering Optimization Problems
sdpa-python/sdpa-python
SemiDefinite Programming Algorithm (SDPA) for Python
caerbannogwhite/set-covering-problem
Implementation of different techniques to solve the Set Covering Problem (SCP).
matbesancon/SimpleBenders.jl
A simple implementation of the Benders decomposition method with JuMP
amirabbasasadi/Babai
C++ Optimization Library
optyang/STELA
STELA algorithm for sparsity regularized linear regression (LASSO)
msakai/haskell-MIP
Libraries for reading/writing MIP problem files, invoking external MIP solvers, etc. in Haskell
ahsan-83/Machine-Learning-Specialization-Coursera
Machine Learning Specialization course offered by DeepLearning.AI on Coursera
guillaume-giannantonio/bat-algorithm
A simple JavaScript library implementing the Bat Algorithm for optimization problems.
GustavoAlovisi/computational_stats_MSc
This is a repo for graduate computational statistics problem sets and class information/data.
ha2emnomer/GSKPy
GSK algorithm
spiralulam/intro_opt_models
This repository contains the code examples of the book "Einführung in Optimierungsmodelle" ("Introduction to Optimization Models") (Sudermann-Merx, 2023)
impredicative/wrapdisc
Optimize both discrete and continuous variables using just a continuous optimizer such as in scipy.optimize
JuliaSmoothOptimizers/ManualNLPModels.jl
NLPModel where all functions are defined by the user
Pegah-Ardehkhani/Energy-Optimization-OR-and-ML
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
sdpa-python/sdpa-multiprecision
Maintained fork of SDPA-GMP with an Application Binary Interface
udellgroup/rlaopt
Randomized linear algebra-based methods for optimization and scientific computing in PyTorch.