Alternatives and similar repositories for optimization-app

Users that are interested in optimization-app are comparing it to the libraries listed below

• bruscalia / tsp-app
  An optimization app for the Traveling Salesman Problem
  ☆30Updated 2 years ago
• bruscalia / optimization-demo-files
  Examples on numerical optimization
  ☆66Updated 11 months ago
• rmazzine / CFNOW
  Easiest way to generate counterfactual explanations
  ☆11Updated 2 years ago
• mobook / MO-book
  Hands-On Optimization with Python
  ☆232Updated last week
• feloopy / feloopy
  Python API
  ☆33Updated 2 weeks ago
• Optimization-Algorithms-Book / Code-Listings
  Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.
  ☆133Updated 8 months ago
• LarrySnyder / stockpyl
  Python inventory optimization and simulation tools.
  ☆144Updated 6 months ago
• OptimizationExpert / Pyomo
  Pyomo respository provides a comprehensive library of solved models in Supply chain management
  ☆298Updated last week
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• donghun2018 / seqdecisionlib-release
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆61Updated 6 years ago
• bruscalia / jobshop
  A Python package for job-shop modeling
  ☆22Updated 2 years ago
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆27Updated last year
• Gurobi / gurobipy-pandas
  Convenience wrapper for building optimization models from pandas data
  ☆101Updated last month
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 2 weeks ago
• vidalt / Districting-Routing
  Source code associated with the paper "Deep Learning for Data-Driven Districting-and-Routing", authored by A. Ferraz, Q. Cappart, and T. …
  ☆27Updated 5 months ago
• grandintegrator / gnn-db-blogpost
  Code behind blog post deploying Graph Neural Networks (GNNs) for Monitoring Supply Chain Risk
  ☆22Updated 3 years ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆69Updated 2 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆34Updated last week
• supplyseer-ai / supplyseer
  Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …
  ☆104Updated last week
• Gurobi / gurobi-machinelearning
  Formulate trained predictors in Gurobi models
  ☆244Updated last week
• nasheydari / HypOp
  Hypergraph Neural Network-Based Combinatorial Optimization
  ☆90Updated last year
• multi-objective / moocore
  Core Mathematical Functions for Multi-Objective Optimization
  ☆34Updated this week
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• marco-cheung / airport-gate-assignment-problem
  Mixed Integer Linear Programming (MILP) Model for solving airport gate assignment problem.
  ☆13Updated 3 years ago
• Pyomo / pyomo-tutorials
  A modern set of Pyomo tutorials
  ☆35Updated 9 months ago
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆50Updated last year
• wbpowell328 / stochastic-optimization
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆365Updated 6 years ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆115Updated 2 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• Victorletzelter / timeMCL
  Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
  ☆53Updated 3 months ago