There are 1 repository under optimization-framework topic.
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
Jumbune, an open source BigData APM & Data Quality Management Platform for Data Clouds. Enterprise feature offering is available at http://jumbune.com. More details of open source offering are at,
OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.
Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.
ecr: Evolutionary Computation in R (version 2)
A derivative-free solver for general nonlinear optimization.
A generic and modular framework for building custom iterative algorithms in Julia
A curated list of awesome Operations Research (OR) resources.
The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.
CENSO is a framework for global optimization of nonconvex, spline-constrained MINLP problems
Python platform for parallel Surrogate-Based Optimization
A framework to implement iterative algorithms
Python bindings for OptFrame C++ Functional Core
🏄♂️ Multi-objective optimization framework for OpenFOAM, powered by BoTorch. Modular, optimizer-agnostic, cluster-native.
Optimization framework library fully written in C++
spatial modelling and optimisation framework
Excel Add-in for mathematical optimization
Framework for identifying cost-effective, optimal strategies for watershed pollutant reduction in the Chesapeake Bay Program's Phase 6 Watershed Model
A powerful Zsh framework focused on security, hardening and automation improvement.
CEopt is a Matlab routine for nonconvex optimization using the Cross-Entropy method and augmented Lagrangian formulation.
Binary Classification with Neural Networks and Bayesian Optimization and SHAP Model Explanations
:pushpin: Using matematical optimization to prioritise where to invest conservation funds
nFit - an application to automatically generate and optimize neuron models.